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Larson, P. T., e D. A. Sheaffer. "TRANSIENT REDUCTION ANALYSIS using NEURAL NETWORKS (TRANN)". International Foundation for Telemetering, 1992. http://hdl.handle.net/10150/608892.
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International Telemetering Conference Proceedings / October 26-29, 1992 / Town and Country Hotel and Convention Center, San Diego, CaliforniaOur telemetry department has an application for a data categorization/compression of a high speed transient signal in a short period of time. Categorization of the signal reveals important system performance and compression is required because of the terminal nature of our telemetry testing. Until recently, the hardware for the system of this type did not exist. A new exploratory device from Intel has the capability to meet these extreme requirements. This integrated circuit is an analog neural network capable of performing 2 billion connections per second. The two main advantages of this chip over traditional hardware are the obvious computation speed of the device and the ability to compute a three layer feed-forward neural network classifier. The initial investigative development work using the Intel chip has been completed. The results from this proof of concept will show data categorization/compression performed on the neural network integrated circuit in real time. We will propose a preliminary design for a transient measurement system employing the Intel integrated circuit.
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Jeong, Soonho. "Wideband signal analysis and synthesis applied to electromagnetic transient waveforms". Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1996. http://handle.dtic.mil/100.2/ADA308099.
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Rudraraju, Seetharama raju. "SMALL SIGNAL AND TRANSIENT STABILITY ANALYSIS OF MVDC SHIPBOARD POWER SYSTEM". MSSTATE, 2009. http://sun.library.msstate.edu/ETD-db/theses/available/etd-11052009-170217/.
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Recent developments in high power rated Voltage Source Converters (VSCs) have resulted in their successful application in Multi-Terminal HVDC (MTDC) transmission systems and also have potential in the Medium Voltage DC (MVDC) distribution systems. This work presents the findings of stability studies carried out on a zonal MVDC architecture for the shipboard power distribution system. The stability study is confined to rotor angle stability of the power system, i.e. the transient and small signal stability analysis. The MTDC ring structure similar to MVDC shipboard power system was implemented in MATLAB/Simulink to look at the transient behavior of the MVDC system. Small signal stability analysis has been carried out with the help of Power System Toolbox (PST) for both MVAC as well as MVDC architectures. Later, Participation Analysis has been carried out to address the small signal instability in the case of MVAC architecture and methods for enhancement were also presented.
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Burnett, Ronald. "Transient current analysis for fault detection in large induction motors". Thesis, Robert Gordon University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.318552.
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Chan, Weng Wa. "Transient and small signal analysis of PWM converters using average switch model". Thesis, University of Macau, 1999. http://umaclib3.umac.mo/record=b1445387.
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Alyami, Mohammad Manea. "Microcontroller-based transient signal analysis and distributed system for intelligent process monitoring". Thesis, Cardiff University, 2008. http://orca.cf.ac.uk/54783/.
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The research presented in this thesis considers the feasibility of utilising dsPICs (digital signal controllers) in the development of effective monitoring systems which have the capability to adapt to changes in operating conditions and can be quickly calibrated to suit a range of applications, thus helping to reduce the development time constraint. The capability of these monitoring solutions to detect and isolate faults occurring in pneumatic processes is investigated and their effectiveness verified. Three applications are considered gas pipe leakage, linear actuator operations and gripper action. In each case, solutions are developed based upon the dsPIC. The solutions utilise the analysis of pressure transients to overcome the limitation in the dsPIC memory. The deployment of minimal sensors and electronics was essential to optimise the cost of the system. Leak detection techniques are developed with application to gas fitting pipes. The speed at which correct decisions are determined was the essence of this work. The solutions are tested, compared and their capability validated using pipes which had been rejected according to industrial standards. In this application a dsPIC digital signal controller and a pressure sensor were deployed, thus ensuring a low cost monitoring solution. Linear actuator "end of stroke" monitoring has, previously, largely been possible using limit switches. A more challenging method based upon the deployment of a pressure sensor is outlined. Monitoring model surfaces were obtained and their capability to determine the health of the process was proved, at various supply pressures. With regard to the gripper monitoring, a performance surface by which the gripper action can be monitored is generated and embedded within the dsPIC. Various faults are simulated and their effect on the gripper performance investigated. Leakage and blockage are also investigated at various places in the pneumatic circuit to allow for an algorithm to be devised. Faults may be detected and isolated, and their locations identified to allow for timely recovery treatment, thus supporting an enhanced process monitoring strategy.
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Choi, Byungcho. "Large signal transient analysis of duty ratio controlled DC-to-DC converter". Thesis, Virginia Tech, 1988. http://hdl.handle.net/10919/43966.
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The large-signal transient response of duty ratio controlled dc-to-dc converters is investigated using the phase-plane technique. The transition pattern of large-signal trajectories is provided in terms of the circuit parameter and operating conditions. Several transient trajectories of practical interest including start-up, step input voltage change and step-load change are analyzed. The effect of large-signal characteristics of the feedback controller on the transient trajectory is presented.Master of Science
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Chen, Zhihong. "It is possible to efficiently use wavelet packets for power system transient signal analysis". Doctoral thesis, Universite Libre de Bruxelles, 1998. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/211980.
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Giacobbe, Martina. "Analysis of transient states in EMG signals with applications to robotic prostheses". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/15861/.
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The purpose of this thesis is to analyze and classify EMG signals for prosthetic control. For transradial amputees the electrical signal of muscles is acquired, processed and classified with the final scope of moving a prosthetic hand. This signal has a first transient state related to the dynamic part of the movement starting from rest and a subsequent steady state which corresponds to the sustained and voluntary contraction. Up to now the classification has been performed only on the steady state, instead in this thesis we will include also the transient. The classification of the transient, due to its instability, is more difficult than for a stationary signal, however it can help to speed up the time necessary to move the prosthesis. In order to do that we use different instruments of pattern recognition and we show that in many situations the transient already provides a good classification, compatible with the steady state. Nevertheless the results depend on the abilities of the single patient.
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Kathi, Lokesh. "Small-Signal Analysis of Non-isolated Cuk DC-DC Converter". Wright State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=wright1598899911848989.
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Bernard, Cindy. "Caractérisation des phénomènes physiques par analyse parcimonieuse des signaux transitoires". Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GREAT090/document.
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Les signaux transitoires, de par leur unicité, sont très difficiles à caractériser. Ils se rencontrent partout et sont généralement le reflet d'un phénomène physique très complexe traduisant de nombreuses informations telles que le signal à l'origine, les effets de la propagation dans le milieu considéré et aussi les effets induits par les capteurs. Ils peuvent aussi bien correspondre à un phénomène de communication entre animaux, qu'être le reflet d'un défaut dans un système électrique ou hydraulique par exemple. Tout ceci rend leur étude très difficile, mais aussi primordiale. De nombreuses techniques en traitement du signal ont été développées ces dernières années pour les étudier: elles reposent souvent sur des approches statistiques, des approches projectives sur différents dictionnaires et des techniques auto-adaptatives. Toutes ces méthodes présentent des avantages et des inconvénients, puisqu'elles permettent souvent de les détecter correctement, néanmoins leur caractérisation à des fins de classification et de discrimination reste compliquée. Cette thèse s'inscrit dans cette optique et propose de nouvelles approches d'étude des transitoires. Après un rapide descriptif des techniques d'étude des signaux transitoires, ce travail s'intéressera dans un premier temps à la représentation des signaux ayant des composantes fréquentielles variant très rapidement. De manière générale l'utilisation des distributions généralisées à temps complexe présente un cadre d'analyse adéquat, mais il est limité aux signaux possédant une bande passante étroite, nous proposons dans une première partie d'étendre cette utilisation à des signaux possédant une bande passante plus large en appliquant un changement d'échelle des signaux. Une deuxième partie s'intéressera davantage à l'extraction de signaux à modulation de phase dans le contexte d'un mélange de bruit non-stationnaire et d'autres signaux cohérents. Ceci sera effectué par des opérateurs de warping couplé à des techniques de débruitage basée sur la compression de données. Le troisième chapitre s'intéressera aux techniques guidées par les données basées sur la représentation des signaux en diagrammes de phase. La contribution principale porte sur la diversité des lags qui permet en effet de mettre en évidence les effets des opérateurs de temps-échelles, mais aussi de modification d'amplitude entre des signaux. Nous développerons donc des méthodes permettant de mettre en évidence ces propriétés. Finalement, les travaux présentés dans les premiers chapitres seront développés dans le cadre de quatre domaines applicatifs qui sont : la segmentation d'ECG, la caractérisation de transitoires électriques, un cas d'acoustique passive et l'étude de signaux acoustiques en milieu immergé. Nous terminerons enfin par une conclusion et quelques perspectives de travailFor their uniqueness, transient are really difficult to characterize. They are met everywhere and are generally the result of very complex physical phenomena that contain a lot of information such as the transient at its origin, the effect of the propagation through the medium and the effects induced by the transducers. They can correspond to communication between mammals as well as being the reflection of a fault in electrical or hydraulic networks for instance. Hence their study is of great importance even though it is quite complicated. Numerous signal processing methods have been developed in the last decades: they often rely on statistical approaches, linear projections of the signal onto dictionaries and data-driven techniques. All those methods have pros and cons since they often provide good detections, nevertheless their characterization for classification and discrimination purposes remains complicated. In this spirit, this thesis proposes new approaches to study transients. After a brief overview of the existing methods, this work first focuses on the representation of signals having tight-varying time-frequency components. Generally, general complex-time distributions present a proper framework to study them but remain limited to narrow band signals. In a first part, we propose to overcome this limitation in the case of signals with a spread time-frequency variation. This method is based on the compression of the signal's spectrum to a bandwidth that ensures the efficiency of the technique. A second part then focuses on the extraction of nonlinear modulation phase signals in the context of nonstationary noise and other coherent signals. This is performed with warping operators and compressive sensing reconstruction techniques. The third chapter then focuses on data-driven methods based on the representation of the signal in phase space. The main contribution takes advantage of the lag diversity that enables to highlight time scale transformations as well as amplitude modifications between transients. Hence, we develop different techniques enabling to highlight those properties. Finally, works presented in the first chapters are developed in applicative contexts such as: ECG segmentation, electrical transient characterization, a passive acoustic configuration and the study of acoustic signals in an immerse environment. We then end up by some conclusions and perspectives for future works
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Franco, Samuel. "Searching for long transient gravitational waves in the LIGO-Virgo data". Phd thesis, Université Paris Sud - Paris XI, 2014. http://tel.archives-ouvertes.fr/tel-01062708.
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This thesis presents the results of the STAMPAS all-sky search for long transient gravitational waves in the 2005-2007 LIGO-Virgo data. Gravitational waves are perturbations of the space-time metric. The Virgo and LIGO experiments are designed to detect such waves. They are Michelson interferometers with 3 km and 4 km long arms, whose light output is altered during the passage of a gravitational wave.Until very recently, transient gravitational wave search pipelines were focused on short transients, lasting less than 1 second, and on binary coalescence signals. STAMPAS is one of the very first pipelines entirely dedicated to the search of long transient gravitational wave signals, lasting from 1s to O(100s).These signals originate, among other sources, from instabilities in protoneutron stars as a result of their violent birth. The standing accretion shock instability in core collapse supernovae or instabilities in accretion disks are also possible mechanisms for gravitational wave long transients. Eccentric black hole binary coalescences are also expected to emit powerful gravitational waves for several seconds before the final plunge.STAMPAS is based on the correlation of data from two interferometers. Time-frequency maps of the data are extracted, and significant pixels are clustered to form triggers. No assumption on the direction, the time or the form of the signals is made.The first STAMPAS search has been performed on the data from the two LIGO detectors, between 2005 and 2007. After a rigorous trigger selection, the analysis revealed that their rate is close to Gaussian noise expectation, which is a significant achievement. No gravitational wave candidate has been detected, and upper limits on the astrophysical rates of several models of accretion disk instability sources and eccentric black holes binary coalescences have been set. The STAMPAS pipeline demonstrated its capabilities to search for any long transient gravitational wave signals during the advanced detector era.Keywords: Gravitational waves, Interferometry, Long transients, Signal Processing, Accretion Disk Instabilities, Eccentric Black Hole Binaries.
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Bu, Siqi. "Probabilistic small-signal stability analysis and improved transient stability control strategy of grid-connected doubly fed induction generators in large-scale power systems". Thesis, Queen's University Belfast, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.580121.
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Growing numbers of large-scale wind farms have been recently established and connected to conventional power grid. With the rising level of penetration, the impact of wind power sources on the grid has extended from simple power quality problems to power grid security and stability, frequency and peak regulation, and economic dispatch issues. Therefore, it has significant theoretical and practical values to comprehensively investigate the effect of grid-connected wind power sources on the power system stability. In order to study the influence of considerable stochastic characteristic of wind power generation, probabilistic analysis of power system small-signal stability has been implemented. An analytical method of probabilistic analysis based on Gram-Charlier expansion is proposed to deal with the stochastic uncertainty and spatial correlation of multiple grid-connected wind power sources. Results of probabilistic stability analysis of the example power system demonstrate that the stochastic fluctuation of wind power generation certainly affects small-signal stability of the power system especially in a stressed load condition. Probabilistic stability changes significantly with the variation of wind power penetration level. Focusing on the examination of mechanism of terminal voltage dip during the grid fault, this thesis then develops an improved flux magnitude and angle control (IFMAC) strategy to enhance the grid fault ride-through (FRT) capability of grid-connected doubly fed induction generators (DFIGs). It is indicated by analysis that the significant increase of DFIG power angle stimulated by grid faults during the transient is the essential reason of DFIG voltage dip. IF MAC scheme is proposed with the aim to control the DFIG power angle. The theoretical analysis has also illustrated that the surrounding power system may benefit prominently in terms of transient stability margin by applying the proposed control strategy. Simulation results of the example system have validated the effectiveness and robustness of IF MAC controller in different operating conditions.
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Kang, Pengju. "On-line condition assessment of power transformer on-load tap-changers : transient vibration analysis using wavelet transform and self organising map". Thesis, Queensland University of Technology, 2000.
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Birleanu, Florin-Marian. "Construction des espaces de représentation RPA pour l'analyse des signaux transitoires". Phd thesis, Université de Grenoble, 2012. http://tel.archives-ouvertes.fr/tel-00762428.
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Même s'ils n'appartiennent pas a une classe de signaux bien définie, les signaux transitoires se retrouvent dans plusieurs domaines pratiques très différents (comme les signaux médicaux et les signaux utilisés dans des systèmes de télécommunications), donc le développement des outils robustes et efficients pour faire leur analyse est un objectif important dans le traitement du signal. En particulier, cette thèse s'est concentrée surtout sur la résolution de quelques problèmes de traitement du signal posés par l'investigation ultrasonore de l'eau dans des conduites. Cependant, ce contexte applicatif a été utilisé seulement comme une base pour développer des outils génériques qui peuvent trouver leur utilité dans plusieurs d'autres applications. La thèse a abordé la question du traitement des signaux (transitoires) du point de vue du concept de récurrence dans l'espace des phases, qui est emprunté de la théorie des systèmes dynamiques. Nous avons montré que l'analyse du diagramme des recurrences (RPA) apporte dans le traitement du signal deux concepts importants : l'échantillon vectoriel, et la récurrence. L'utilisation de ces concepts nous a permis de généraliser et d'étendre des outils de traitement du signal bien connus, et aussi de construire des représentations de signal qui se sont révélées utiles dans des différentes tâches liées à la détection et à la caractérisation des transitoires. Essentiellement, dans cette thèse nous avons montré que la RPA peut être vue comme un cadre générique qui unifie dans une formulation commune des diverses outils bien connus dans le traitement du signal. En plus, elle généralise ces outils (à l'aide du concept des échantillons vectoriels) et les étend (en utilisant le concept de récurrence).
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Duboisset-Chareyre, Laure. "Analyse bispectrale de signaux réels : application à la détection de transitoires". Grenoble INPG, 1997. http://www.theses.fr/1997INPG0168.
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En lutte sous-marine, des l'acquisition d'un signal en sortie d'une antenne sonar, la premiere question qui se pose est : <<<>le signal comporte-t-il de l'information ou ne s'agit-il que de bruit?<>>> cette question est determinante pour la securite de l'equipage et du batiment. Depuis peu, on s'interesse a la detection des bruits transitoires. Signaux brefs, emis lors de manoeuvres, ils sont souvent moins discrets que les bruits rayonnes classiques mais leur caractere fugitif les avait rendus jusque-la moins remarquables. Les methodes classiques de detection sont souvent mal adaptees a ce type de signaux. C'est pourquoi nous abordons d'autres methodes pour ameliorer cette detection. Des algorithmes utilisant les transformees temps-frequence et les ordres superieurs sont compares. A l'issue de cette etude, nous montrons l'interet d'une methode utilisant le calcul du bispectre. Ce dernier presente des caracteristiques remarquables que nous decrivons precisement. L'utilisation du detecteur bispectral nous amene a etudier en detail l'environnement reel dans lequel nous travaillons. Nous montrons notamment que le bruit de mer presente des caracteristiques proches de celles d'une gaussienne qui le differencie des transitoires a detecter. Enfin, notre souci etant de proposer un detecteur operationnel, nous avons mis au point la detection bispectrale en temps reel. Cela nous a amenes a faire des choix quant a la programmation du detecteur en terme, par exemple, de longueur de fenetres d'analyse lors de l'estimation du bispectre. Nous expliquons les difficultes rencontrees lors de l'implantation. Nous montrons comment elles ont ete resolues et presentons les performances de la methode et du programme.
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Nastasiu, Dragos-Florin. "Développement de solutions pour l’identification (THID) et l’authentification par des approches non intrusives dans le domaine THz". Electronic Thesis or Diss., Chambéry, 2024. http://www.theses.fr/2024CHAMA007.
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L'imagerie THz est un domaine émergent depuis les avancées technologiques en termes d'émission de rayonnement THz et d'équipement de détection. L'objectif principal de la thèse est de contribuer et d'améliorer les systèmes d'imagerie THz, de la reconstruction et de l'analyse d'images aux tâches de classification d'images. Dans la première partie de la thèse, nous nous attaquons au défi de l'estimation de l'amplitude dans des conditions de bruit idéal et multiplicatif. Le bruit multiplicatif déforme la phase et introduit des artefacts complexes, tels que la perte d'information sur les contours et la dégradation du contraste, qui ne peuvent être éliminés à l'aide des techniques de reconstruction d'image les plus récentes. À cet égard, nous présentons cinq nouvelles méthodes de reconstruction qui exploitent la représentation du diagramme de phase des signaux. Deux de ces méthodes sont basées sur le filtrage du diagramme de phase pour estimer l'amplitude dans les deux conditions. Deux autres méthodes utilisent le concept de déformation temporelle dynamique (DTW) pour augmenter la capacité à modéliser le type de bruit multiplicatif. Enfin, nous exploitons la dynamique de la trajectoire de phase décrite par les courbures pour reconstruire l'image. Parmi le grand nombre de méthodes, nous évaluons tout au long de la thèse que la méthode basée sur les courbures reconstruit efficacement l'image dans des contextes idéaux et bruités. Après une reconstruction efficace de l'image, la deuxième partie de la thèse, nous étudions les méthodes d'analyse et de classification d'images en tenant compte des instabilités des systèmes d'imagerie du monde réel, telles que les translations et les rotations. Dans ce sens, nous proposons d'utiliser des décompositions de paquets d'ondelettes invariantes par rapport à la translation et à la rotation, qui fournissent une représentation unique et optimale d'une image, indépendamment de la translation ou de la rotation de l'image. Sur la base des représentations d'images invariantes, de nouvelles techniques d'extraction de caractéristiques sont introduites, telles que les cadres verticaux, horizontaux, N-directionnels et N-zonaux. En outre, deux structures de caractéristiques sont introduites, qui prennent en compte le partitionnement en fréquence de la décomposition en ondelettes et sont adaptées pour fonctionner avec des réseaux neuronaux graphiques (GNN) et des classificateurs ML classiques tels que les k-voisins les plus proches (k-NN), les machines à vecteurs de support (SVM), etc. Dans l'ensemble, les approches que nous proposons augmentent la précision de tous les classificateursTHz imaging is an emerging field since the technological advances in terms of THz radiation emission and detection equipment. The main objective of the thesis is to contribute and to improve THz imaging systems, from image reconstruction and analysis to image classification tasks. In the first part of the thesis, we tackle the amplitude estimation challenge under ideal and multiplicative noise conditions. The multiplicative noise deforms the phase and introduces complex artefacts, such as contour information loss and contrast degradation, that cannot be eliminated using state-of-the-art image reconstruction techniques. In this regard, we introduce five novel reconstruction methods which exploit the phase diagram representation of signals. Two of the methods are based on phase-diagram match filtering to estimate the amplitude in both conditions. Another two methods use the concept of dynamic time warping (DTW) to increase the capability to model the multiplicative type of noise. Lastly, we exploit the dynamic of the phase trajectory described by the curvatures to reconstruct the image. From the large pool of methods, we evaluate throughout the thesis that the curvature-based method efficiently reconstructs the image in both ideal and noisy contexts. After an efficient image reconstruction, the second part of the thesis, we study image analysis and classification methods considering the instabilities of real-world imaging systems, such as translations and rotations. In this sense, we propose to use translation and rotation invariant wavelet packet decompositions, that provide a unique and optimal representation of an image, regardless if the image is translated or rotated. Based on the invariant image representations, novel feature extraction techniques are introduced such as vertical, horizontal, N-directional and N-zonal frameworks. Additionally, two feature structures are introduced and that consider the frequency partitioning of the wavelet decomposition and are adapted to work with Graph Neural Networks (GNNs) and classic ML classifiers such as k-nearest neighbors (k-NN), support vector machine (SVM), etc. Overall, our proposed approaches increase the accuracy of all classifiers
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Bennia, Abdelhak. "Optimal filters for deconvolution of transient signals in the presence of noise". Diss., This resource online, 1990. http://scholar.lib.vt.edu/theses/available/etd-09162005-115009/.
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Vedreño, Santos Francisco Jose. "Diagnosis of electric induction machines in non-stationary regimes working in randomly changing conditions". Doctoral thesis, Universitat Politècnica de València, 2013. http://hdl.handle.net/10251/34177.
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Tradicionalmente, la detección de faltas en máquinas eléctricas se basa en el uso de la Transformada Rápida de Fourier ya que la mayoría de las faltas pueden ser diagnosticadas con ella con seguridad si las máquinas operan en condiciones de régimen estacionario durante un intervalo de tiempo razonable.
Sin embargo, para aplicaciones en las que las máquinas operan en condiciones de carga y velocidad fluctuantes (condiciones no estacionarias) como por ejemplo los aerogeneradores, el uso de la Transformada Rápida de Fourier debe ser reemplazado por otras técnicas.
La presente tesis desarrolla una nueva metodología para el diagnóstico de máquinas de inducción de rotor de jaula y rotor bobinado operando en condiciones no estacionarias, basada en el análisis de las componentes de falta de las corrientes en el plano deslizamiento frecuencia. La técnica es aplicada al diagnóstico de asimetrías estatóricas, rotóricas y también para la falta de excentricidad mixta.
El diagnóstico de las máquinas eléctricas en el dominio deslizamiento-frecuencia confiere un carácter universal a la metodología ya que puede diagnosticar máquinas eléctricas independientemente de sus características, del modo en el que la velocidad de la máquina varía y de su modo de funcionamiento (motor o generador).
El desarrollo de la metodología conlleva las siguientes etapas:
(i) Caracterización de las evoluciones de las componentes de falta de asimetría estatórica, rotórica y excentricidad mixta para las máquinas de inducción de rotores de jaula y bobinados en función de la velocidad (deslizamiento) y la frecuencia de alimentación de la red a la que está conectada la máquina.
(ii) Debido a la importancia del procesado de la señal, se realiza una introducción a los conceptos básicos del procesado de señal antes de centrarse en las técnicas actuales de procesado de señal para el diagnóstico de máquinas eléctricas.
(iii) La extracción de las componentes de falta se lleva a cabo a través de tres técnicas de filtrado diferentes: filtros basados en la Transformada Discreta Wavelet, en la Transformada Wavelet Packet y con una nueva técnica de filtrado propuesta en esta tesis, el Filtrado Espectral. Las dos primeras técnicas de filtrado extraen las componentes de falta en el dominio del tiempo mientras que la nueva técnica de filtrado realiza la extracción en el dominio de la frecuencia.
(iv) La extracción de las componentes de falta, en algunos casos, conlleva el desplazamiento de la frecuencia de las componentes de falta. El desplazamiento de la frecuencia se realiza a través de dos técnicas: el Teorema del Desplazamiento de la Frecuencia y la Transformada Hilbert.
(v) A diferencia de otras técnicas ya desarrolladas, la metodología propuesta no se basa exclusivamente en el cálculo de la energía de la componente de falta sino que también estudia la evolución de la frecuencia instantánea de ellas, calculándola a través de dos técnicas diferentes (la Transformada Hilbert y el operador Teager-Kaiser), frente al deslizamiento. La representación de la frecuencia instantánea frente al deslizamiento elimina la posibilidad de diagnósticos falsos positivos mejorando la precisión y la calidad del diagnóstico. Además, la representación de la frecuencia instantánea frente al deslizamiento permite realizar diagnósticos cualitativos que son rápidos y requieren bajos requisitos computacionales.
(vi) Finalmente, debido a la importancia de la automatización de los procesos industriales y para evitar la posible divergencia presente en el diagnóstico cualitativo, tres parámetros objetivos de diagnóstico son desarrollados: el parámetro de la energía, el coeficiente de similitud y los parámetros de regresión. El parámetro de la energía cuantifica la severidad de la falta según su valor y es calculado en el dominio del tiempo y en el dominio de la frecuencia (consecuencia de la extracción de las componentes de falta en el dominio de la frecuencia). El coeficiente de similitud y los parámetros de regresión son parámetros objetivos que permiten descartar diagnósticos falsos positivos aumentando la robustez de la metodología propuesta.
La metodología de diagnóstico propuesta se valida experimentalmente para las faltas de asimetría estatórica y rotórica y para el fallo de excentricidad mixta en máquinas de inducción de rotor de jaula y rotor bobinado alimentadas desde la red eléctrica y desde convertidores de frecuencia en condiciones no estacionarias estocásticas.Vedreño Santos, FJ. (2013). Diagnosis of electric induction machines in non-stationary regimes working in randomly changing conditions [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/34177
TESIS
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Bérail, Sylvain. "Nouvelles stratégies d’introduction d’échantillon en MC-ICP-MS pour la bio-géochimie isotopique du mercure en ultra-trace". Thesis, Pau, 2018. http://www.theses.fr/2018PAUU3019/document.
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En complément des analyses de concentration et de spéciation, les analyses des isotopes stables du mercure par MC-ICP-MS sont à l’heure actuelle un outil majeur pour tracer les sources et les transformations de cet élément dans l’environnement. Cette thèse propose le développement de techniques de pré-concentrations couplées au MC-ICP-MS afin de réaliser des analyses isotopiques de mercure au niveau du ng.L-1 (Ultra-trace). La stratégie de pré-concentration en ligne va générer des signaux transitoires courts dont la gestion en MC-ICP-MS représente un réel défi. Afin d’y répondre, une méthode de traitement de données adaptée à ce type de signaux ainsi qu’une méthode de correction du phénomène de dérive isotopique ont été développées. Dans le but de déterminer des compositions isotopiques en mercure total à de faibles concentrations, le couplage d’une génération de vapeur froide, d’une double amalgamation sur or (CVG-DGA) et d’un MC-ICP-MS a été développé. Cette nouvelle technique donne des précisions externes de l’ordre de 0.20 à 0.30‰ (2SD) pour des concentrations en mercure de 5 ng.L-1 en solution. Cette thèse présente également une nouvelle méthode d’analyse isotopique par espèce chimique (CSIA) réalisée à l’aide du couplage d’une chromatographie en phase gazeuse équipée d’un injecteur PTV (GC-PTV) et d’un MC-ICP-MS. Celle-ci permet l’analyse isotopique de plusieurs espèces chimiques avec des précisions externes de l’ordre de 0.30 à 0.40‰ (2SD) pour des concentrations en mercure de 150 ng.L-1 dans des échantillons biologiques.Les développements analytiques de cette thèse ont permis de mesurer directement et de façon automatisée des compositions isotopiques de mercure à des niveaux d’ultra-trace (jusqu’à 5ng.L-1) tout en conservant des précisions compatibles avec les principales questions environnementales posées. Ceci va permettre d’analyser des compartiments environnementaux contenant de faibles quantités de mercure (eaux naturelles, planctons,…) et ouvre ainsi de nouvelles perspectives pour une meilleure compréhension du cycle bio-géochimique du mercureIn addition to the quantitative and speciation analysis, the analysis of mercury stable isotopes by MC-ICP-MS are now a tool of choice to track sources and pathways of this element in the environment. This PhD thesis presents the development of hyphenation between pre-concentration techniques and MC-ICP-MS to measure isotopic composition of mercury at ng.L-1 levels (Ultra-trace). The on-line pre-concentration strategy will create short transient signals which represent a real challenge for MC-ICP-MS. In order to solve it, a data treatment strategy for this particular signals and a correction method for the isotopic drift were developed.The hyphenation between a cold vapor generation, a dual gold amalgamation (CVG-DGA) and a MC-ICP-MS was developed to determine total mercury isotopic composition. This new technique gives external precisions ranging from 0.20 to 0.30‰ (2SD) for Hg concentration in solution of 5 ng.L-1. This PhD thesis also reports a new method to perform mercury compound specific isotopic analysis (CSIA) using a gas chromatography fitted with a PTV injector (GC-PTV) coupled to the MC-ICP-MS. This allows the isotopic analysis of several species with external precisions ranging from 0.30 to 0.40‰ (2SD) for mercury concentration down to 150 ng.L-1 in biological samples.The analytical developments proposed in this PhD thesis allows to automatically and directly measure mercury isotopic compositions at ultra-trace levels (down to 5 ng.L-1) while keeping precision compatible with main environmental questions. This will allow to analyze environmental compartment containing very low amount of mercury (natural waters, planktons,…) and then open new perspectives for a better understanding of the bio-geochimical cycle of mercury
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Chen, Zhidong. "Machine condition monitoring based on the analysis of transient vibration signals". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0016/NQ58400.pdf.
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Muševič, Sašo. "Non-stationary sinusoidal analysis". Doctoral thesis, Universitat Pompeu Fabra, 2013. http://hdl.handle.net/10803/123809.
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Muchos tipos de señales que encontramos a diario pertenecen a la categoría de sinusoides no estacionarias. Una gran parte de esas señales son sonidos que presentan una gran variedad de características: acústicos/electrónicos, sonidos instrumentales harmónicos/impulsivos, habla/canto, y la mezcla de todos ellos que podemos encontrar en la música. Durante décadas la comunidad científica ha estudiado y analizado ese tipo de señales. El motivo principal es la gran utilidad de los avances científicos en una gran variedad de áreas, desde aplicaciones médicas, financiera y ópticas, a procesado de radares o sonar, y también a análisis de sistemas. La estimación precisa de los parámetros de sinusoides no estacionarias es una de las tareas más comunes en procesado digital de señales, y por lo tanto un elemento fundamental e indispensable para una gran variedad de aplicaciones.
Las transformaciones de tiempo y frecuencia clásicas son solamente apropiadas para señales con variación lenta de amplitud y frecuencia. Esta suposición no suele cumplirse en la práctica, lo que conlleva una degradación de calidad y la aparición de artefactos. Además, la resolución temporal y frecuencial no se puede incrementar arbitrariamente debido al conocido principio de incertidumbre de Heisenberg. \\
El principal objetivo de esta tesis es revisar y mejorar los métodos existentes para el análisis de sinusoides no estacionarias, y también proponer nuevas estrategias y aproximaciones. Esta disertación contribuye sustancialmente a los análisis sinusoidales existentes: a) realiza una evaluación crítica del estado del arte y describe con gran detalle los métodos de análisis existentes, b) aporta mejoras sustanciales a algunos de los métodos existentes más prometedores, c) propone varias aproximaciones nuevas para el análisis de los modelos sinusoidales existentes i d) propone un modelo sinusoidal muy general y flexible con un algoritmo de análisis directo y rápido.Many types of everyday signals fall into the non-stationary sinusoids category. A large family of such signals represent audio, including acoustic/electronic, pitched/transient instrument sounds, human speech/singing voice, and a mixture of all: music. Analysis of such signals has been in the focus of the research community for decades. The main reason for such intense focus is the wide applicability of the research achievements to medical, financial and optical applications, as well as radar/sonar signal processing and system analysis. Accurate estimation of sinusoidal parameters is one of the most common digital signal processing tasks and thus represents an indispensable building block of a wide variety of applications. Classic time-frequency transformations are appropriate only for signals with slowly varying amplitude and frequency content - an assumption often violated in practice. In such cases, reduced readability and the presence of artefacts represent a significant problem. Time and frequency resolu
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Santos, Rui Pedro Silvestre dos. "Time series morphological analysis applied to biomedical signals events detection". Master's thesis, Faculdade de Ciências e Tecnologia, 2011. http://hdl.handle.net/10362/10227.
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Dissertation submitted in the fufillment of the requirements for the Degree of Master in Biomedical EngineeringAutomated techniques for biosignal data acquisition and analysis have become increasingly powerful, particularly at the Biomedical Engineering research field. Nevertheless, it is verified the need to improve tools for signal pattern recognition and classification systems, in which the detection of specific events and the automatic signal segmentation are preliminary processing steps. The present dissertation introduces a signal-independent algorithm, which detects significant events in a biosignal. From a time series morphological analysis, the algorithm computes the instants when the most significant standard deviation discontinuities occur, segmenting the signal. An iterative optimization step is then applied. This assures that a minimal error is achieved when modeling these segments with polynomial regressions. The adjustment of a scale factor gives different detail levels of events detection. An accurate and objective algorithm performance evaluation procedure was designed. When applied on a set of synthetic signals, with known and quantitatively predefined events, an overall mean error of 20 samples between the detected and the actual events showed the high accuracy of the proposed algorithm. Its ability to perform the detection of signal activation onsets and transient waveshapes was also assessed, resulting in higher reliability than signal-specific standard methods. Some case studies, with signal processing requirements for which the developed algorithm can be suitably applied, were approached. The algorithm implementation in real-time, as part of an application developed during this research work, is also reported. The proposed algorithm detects significant signal events with accuracy and significant noise immunity. Its versatile design allows the application in different signals without previous knowledge on their statistical properties or specific preprocessing steps. It also brings added objectivity when compared with the exhaustive and time-consuming examiner analysis. The tool introduced in this dissertation represents a relevant contribution in events detection, a particularly important issue within the wide digital biosignal processing research field.
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Plotnikov, Alexei. "Beiträge zur räumlich aufgelösten Analyse mittels Scanning Laserablation-ICP-Massenspektrometrie unter besonderer Berücksichtigung von Schichtsystemen und Supraleitern". Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2004. http://nbn-resolving.de/urn:nbn:de:swb:14-1098260409140-71951.
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Die vorliegende Arbeit stellt die Ergebnisse der methodologischen Entwicklung räumlich aufgelöster Analyse mittels Scanning Laserablation-ICP-Massenspektrometrie dar. Eine neue Behandlung zur Quantifizierung transienter analytischer Signale wurde für die Wiederherstellung von Konzentrationsprofilen vorgeschlagen. Die Anwendung der entwickelten Modelle auf die räumlich aufgelöste Analyse mittels LA-ICP-MS ermöglicht verbesserten Informationsgewinn und lässt dadurch eine höhere räumliche Auflösung erreichen. Die Anwendbarkeit der LA-ICP-MS für die räumlich aufgelöste Bestimmung der Stöchiometrie in supraleitenden Borokarbiden wurde untersucht. Der Einfluss apparativer Größen auf das analytische Signal wurde aufgeklärt, um die Messbedingungen zu optimieren. Zusätzlich wurden Fraktionierungseffekte untersucht, um die Ursache und deren Auswirkung auf die Analyse supraleitender Borokarbiden zu erklärenThis work represents the results of the methodological development of spatially resolved analysis by scanning laser ablation ICP mass spectrometry. A new approach to the quantification of transient analytical signals was proposed to reveal the concentration profile. An application of the developed models on spatially resolved analysis by LA-ICP-MS allows to gain more information from experimental data and hence to achieve better spatial resolution. The applicability of LA-ICP-MS to the spatially resolved determination of the stoichiometry of superconducting borocarbides was investigated. The effect of experimental parameters on analytical signals was elucidated in order to optimize the experimental conditions. In addition, fractionation effects were investigated to identify the causes for fractionation and their influence on the analysis of superconducting borocarbides
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PENHA, ROSANI M. L. da. "Analise de sinais em regime transiente aplicando a tecnica de WAVELET". reponame:Repositório Institucional do IPEN, 1999. http://repositorio.ipen.br:8080/xmlui/handle/123456789/10773.
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Made available in DSpace on 2014-10-09T12:43:51Z (GMT). No. of bitstreams: 0Made available in DSpace on 2014-10-09T14:10:10Z (GMT). No. of bitstreams: 1 06767.pdf: 4710608 bytes, checksum: 0df801946c2e3b5907a9d77d5ff698e5 (MD5)
Dissertacao (Mestrado)
IPEN/D
Instituto de Pesquisas Energeticas e Nucleares - IPEN/CNEN-SP
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Plotnikov, Alexei. "Beiträge zur räumlich aufgelösten Analyse mittels Scanning Laserablation-ICP-Massenspektrometrie unter besonderer Berücksichtigung von Schichtsystemen und Supraleitern". Doctoral thesis, Technische Universität Dresden, 2003. https://tud.qucosa.de/id/qucosa%3A24383.
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Die vorliegende Arbeit stellt die Ergebnisse der methodologischen Entwicklung räumlich aufgelöster Analyse mittels Scanning Laserablation-ICP-Massenspektrometrie dar. Eine neue Behandlung zur Quantifizierung transienter analytischer Signale wurde für die Wiederherstellung von Konzentrationsprofilen vorgeschlagen. Die Anwendung der entwickelten Modelle auf die räumlich aufgelöste Analyse mittels LA-ICP-MS ermöglicht verbesserten Informationsgewinn und lässt dadurch eine höhere räumliche Auflösung erreichen. Die Anwendbarkeit der LA-ICP-MS für die räumlich aufgelöste Bestimmung der Stöchiometrie in supraleitenden Borokarbiden wurde untersucht. Der Einfluss apparativer Größen auf das analytische Signal wurde aufgeklärt, um die Messbedingungen zu optimieren. Zusätzlich wurden Fraktionierungseffekte untersucht, um die Ursache und deren Auswirkung auf die Analyse supraleitender Borokarbiden zu erklären.This work represents the results of the methodological development of spatially resolved analysis by scanning laser ablation ICP mass spectrometry. A new approach to the quantification of transient analytical signals was proposed to reveal the concentration profile. An application of the developed models on spatially resolved analysis by LA-ICP-MS allows to gain more information from experimental data and hence to achieve better spatial resolution. The applicability of LA-ICP-MS to the spatially resolved determination of the stoichiometry of superconducting borocarbides was investigated. The effect of experimental parameters on analytical signals was elucidated in order to optimize the experimental conditions. In addition, fractionation effects were investigated to identify the causes for fractionation and their influence on the analysis of superconducting borocarbides.
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Beak, Byungho, e Byungho Beak. "Systematic Analysis and Integrated Optimization of Traffic Signal Control Systems in a Connected Vehicle Environment". Diss., The University of Arizona, 2017. http://hdl.handle.net/10150/626304.
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Traffic signal control systems have been tremendously improved since the first colored traffic signal light was installed in London in December 1868. There are many different types of traffic signal control systems that can be categorized into three major control types: fixed-time, actuated, and adaptive. Choosing a proper traffic signal system is very important since there exists no perfect signal control strategy that fits every traffic network. One example is traffic signal coordination, which is the most widely used traffic signal control system. It is believed that performance measures, such as travel times, vehicle delay, and number of stops, can be enhanced by synchronizing traffic signals over a corridor. However, it is not always true that the coordination will have the same benefits for all the traffic in the network. Most of the research on coordination has focused only on strengthening the major movement along the coordinated routes without considering system-wide impacts on other traffic.
Therefore, before implementing a signal control system to a specific traffic network, a thorough investigation should be conducted to see how the control strategy may impact the entire network in terms of the objectives of each type of traffic control system. This dissertation first considers two different kinds of systematic performance analyses for traffic signal control systems. Then, it presents two types of signal control strategies that account for current issues in coordination and priority control systems, respectively.
First, quantitative analysis of smooth progression for traffic flow is investigated using connected vehicle technology. Many studies have been conducted to measure the quality of progression, but none has directly considered smooth progression as the significant factor of coordination, despite the fact that the definition of coordination states that the goal is to have smooth traffic flow. None of the existing studies concentrated on measuring a continuous smooth driving pattern for each vehicle in terms of speed. In order to quantify the smoothness, this dissertation conducts an analysis of the speed variation of vehicles traveling along a corridor. A new measure is introduced and evaluated for different kinds of traffic control systems. The measure can be used to evaluate how smoothly vehicles flow along a corridor based on the frequency content of vehicle speed. To better understand the impact of vehicle mode, a multi-modal analysis is conducted using the new measure.
Second, a multi-modal system-wide evaluation of traffic signal systems is conducted. This analysis is performed for traffic signal coordination, which is compared with fully actuated control in terms of a systematic assessment. Many optimization models for coordination focus mainly on the objective of the coordinated route and do not account for the impacts on side street movements or other system-wide impacts. In addition, multi-modality is not considered in most optimized coordination plans. Thus, a systematic investigation of traffic signal coordination is conducted to analyze the benefits and impacts on the entire system. The vehicle time spent in the system is measured as the basis of the analysis. The first analysis evaluates the effect of coordination on each route based on a single vehicle mode (regular passenger vehicles). The second analysis reveals that how multi-modality affects the performance of the entire system.
Third, in order to address traffic demand fluctuation and traffic pattern changes during coordination periods, this dissertation presents an adaptive optimization algorithm that integrates coordination with adaptive signal control using data from connected vehicles. Through the algorithm, the coordination plan can be updated to accommodate the traffic demand variation and remain optimal over the coordination period. The optimization framework consists of two levels: intersection and corridor. The intersection level handles phase allocation in real time based on connected vehicle trajectory data, while the corridor level deals with the offsets optimization. The corridor level optimization focuses on the performance of the vehicle movement along the coordinated phase, while at the intersection level, all movements are considered to create the optimal signal plan. The two levels of optimizations apply different objective functions and modeling methodologies. The objective function at the intersection level is to minimize individual vehicle delay for both coordinated and non-coordinated phases using dynamic programming (DP). At the corridor level, a mixed integer linear programming (MILP) is formulated to minimize platoon delay for the coordinated phase.
Lastly, a peer priority control strategy, which is a methodology that enhances the multi modal intelligent traffic signal system (MMITSS) priority control model, is presented based on peer-to-peer (P2P) and dedicated short range communication (DSRC) in a connected vehicle environment. The peer priority control strategy makes it possible for a signal controller to have a flexible long-term plan for prioritized vehicles. They can benefit from the long-term plan within a secured flexible region and it can prevent the near-term priority actions from having a negative impact on other traffic by providing more flexibility for phase actuation. The strategy can be applied to all different modes of vehicles such as transit, freight, and emergency vehicles. Consideration for far side bus stops is included for transit vehicles.
The research that is presented in this dissertation is constructed based on Standard DSRC messages from connected vehicles such as Basic Safety Messages (BSMs), Signal Phasing and Timing Messages (SPaTs), Signal Request Messages (SRMs), and MAP Messages, defined by Society of Automotive Engineers (SAE) (SAE International 2016).
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Nasri, Amin. "On the Dynamics and Statics of Power System Operation : Optimal Utilization of FACTS Devicesand Management of Wind Power Uncertainty". Doctoral thesis, KTH, Elektriska energisystem, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-154576.
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Nowadays, power systems are dealing with some new challenges raisedby the major changes that have been taken place since 80’s, e.g., deregu-lation in electricity markets, significant increase of electricity demands andmore recently large-scale integration of renewable energy resources such aswind power. Therefore, system operators must make some adjustments toaccommodate these changes into the future of power systems.One of the main challenges is maintaining the system stability since theextra stress caused by the above changes reduces the stability margin, andmay lead to rise of many undesirable phenomena. The other important chal-lenge is to cope with uncertainty and variability of renewable energy sourceswhich make power systems to become more stochastic in nature, and lesscontrollable.Flexible AC Transmission Systems (FACTS) have emerged as a solutionto help power systems with these new challenges. This thesis aims to ap-propriately utilize such devices in order to increase the transmission capacityand flexibility, improve the dynamic behavior of power systems and integratemore renewable energy into the system. To this end, the most appropriatelocations and settings of these controllable devices need to be determined.This thesis mainly looks at (i) rotor angle stability, i.e., small signal andtransient stability (ii) system operation under wind uncertainty. In the firstpart of this thesis, trajectory sensitivity analysis is used to determine themost suitable placement of FACTS devices for improving rotor angle sta-bility, while in the second part, optimal settings of such devices are foundto maximize the level of wind power integration. As a general conclusion,it was demonstrated that FACTS devices, installed in proper locations andtuned appropriately, are effective means to enhance the system stability andto handle wind uncertainty.The last objective of this thesis work is to propose an efficient solutionapproach based on Benders’ decomposition to solve a network-constrained acunit commitment problem in a wind-integrated power system. The numericalresults show validity, accuracy and efficiency of the proposed approach.The Doctoral Degrees issued upon completion of the programme are issued by Comillas Pontifical University, Delft University of Technology and KTH Royal Institute of Technology. The invested degrees are official in Spain, the Netherlands and Sweden, respectively.QC 20141028
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Miani, Andrea. "Agnostic method to detect low energetic signals nearby a gravitational wave transient from a binary black hole system". Doctoral thesis, Università degli studi di Trento, 2022. http://hdl.handle.net/11572/354941.
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The first detection of a gravitational wave (GW) enabled our observation of the Universe through a revolutionary messenger and unveiled phenomena that are occurring in a range of very strong gravitational fields and relativistic velocities.
These physical regimes, previously inaccessible to humankind, can now be studied.
In particular, the discoveries of an unexpected population of stellar-mass binary black holes (BBH), and unexpected masses for binary neutron star (BNS) components have both pointed to new astrophysics, and to unprecedented tests of the general relativity theory.
This thesis focuses on the development of a new method of gravitational wave data analysis, aiming to investigate weak features in the proximity to well-identified BBH merger signals.
The method is based on a dedicated version of coherentWaveBurst (cWB), an unmodelled gravitational waves transient search algorithm, developed in the LIGO Scientific Collaboration (LSC) and Virgo Collaboration and widely used on LIGO-Virgo-KAGRA (LVK) data.
CoherentWaveBurst relies on the coherent detection of an excess of energy inside the combined data of all the gravitational waves detectors inside the detectors network.
Such excess of energy must pass several internal thresholds of the pipeline to be accepted as a possible gravitational wave candidate and these thresholds evaluate not only the strength of the signal with respect to the background noise but also how balanced is the energy distribution among the detectors of the network, its coherence, as well as other quantities whose purpose is to rule out possible outliers due to the presence of non-stationary noise.
To develop such a method, it was decided to adopt as science case the search for echoes.
In literature, it has been proposed that the gravitational radiation generated from a binary compact objects (CBCs) coalescence might display exotic characteristics if compared to the predicted one generated by black hole-black hole (BH-BH), neutron star-neutron star (NS-NS), or neutron star-black hole (NS-BH) binaries which are, for now, the only detected emitters of gravitational waves.
Such differences arise from the proposal that the involved compact objects (COs) of the binary are not standard black holes but instead black hole mimickers called exotic compact objects (ECOs).
If this is the case the gravitational wave signal generated from such a binary would display repeated gravitational wave pulses, of widely uncertain morphology, after the merger-ringdown phase of the gravitational signal.
These repeated gravitational wave pulses are called echoes, one class of low energetic signals whose presence inside gravitational wave data, this new algorithm is searching for.
The proposed data analysis methodology searching for echoes is agnostic over the properties of the predicted gravitational wave pulses emitted by an ECO binary.
Indeed, the variety of theoretical alternatives to black holes is not converging over a well-defined post-merger-ringdown signal, each model has its own properties and characteristic features.
Therefore, the possibility to investigate the morphological features of possible outliers in the post-merger phase of detected GW signals is fundamental in the process of inferring their nature.
Having their morphology recovered without priors makes the proposed search more general than the variety of theoretical models of echoes.
This procedure is tested over real data from past LIGO-Virgo observing runs (O1, O2, and O3), and the capability of the search in estimating the main morphological parameters of echoes, such as their arrival time, mean frequency, as well as the amplitude attenuation between subsequent pulses, is investigated.
This work concludes that the current state-of-the-art methods and detectors find no evidence for echoes of any morphologies.
Such a study extended to lower signal-to-noise ratio (SNR) the detectability of echoes associated with the public gravitational-wave transient catalog of BBH mergers released by the LIGO and Virgo Collaboration.
It also sets best quantitative upper limits on the amplitude of low energy signals occurring after the merger-ringdown.
To achieve these results, new post-processing tools are developed and optimised to detect and characterize possible energy excess inside a user-defined time window.
This required the development of the code and to adapt the cWB infrastructure to the new working requirements which also involves a re-tuning of cWB itself.
The optimization of the performances is based on off-source simulations for assessing the detection efficiency and false alarm probability of signal candidates.
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Qoria, Taoufik. "Nouvelles lois de contrôle pour former des réseaux de transport avec 100% d’électronique de puissance". Thesis, Paris, HESAM, 2020. http://www.theses.fr/2020HESAE041.
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Le développement rapide de la production d'énergie renouvelable intermittente et des liaisons HVDC entraîne une augmentation importante du taux de pénétration des convertisseurs statiques dans les réseaux de transport. Aujourd'hui, les convertisseurs statiques ont pour fonction principale d'injecter une puissance dans le réseau tout en s'appuyant sur des machines synchrones qui garantissent tous les besoins du système électrique. Ce mode de fonctionnement est appelé «Grid-following». Les convertisseurs contrôlés en Grid-following ont plusieurs limitations: leur incapacité à fonctionner en mode autonome, leurs problèmes de stabilité dans des réseaux faibles et en cas de défaut ainsi que leur effet négatif sur l'inertie équivalent du système. Pour relever ces défis, le contrôle en Grid-forming est une bonne solution pour répondre aux besoins du système électrique et permettre un fonctionnement stable et sûr du système même avec un taux de pénétration des convertisseurs statique de 100%. Tout d'abord, trois stratégies de contrôle en Grid-forming sont proposées pour garantir quatre fonctionnalités principales: contrôle de tension, contrôle de puissance, émulation d'inertie et le support de la fréquence. La dynamique et la robustesse du système basées sur chaque contrôle ont été analysées et discutées. Ensuite, selon la topologie du convertisseur, la connexion avec le réseau AC peut nécessiter des filtres et des boucles de contrôle supplémentaires. Dans le cadre de cette thèse, deux topologies de convertisseur ont été envisagées (VSC à 2-niveaux et VSC-MMC) et l'implémentation associée à chacune a été discutée. Enfin, les questions de la protection des convertisseurs Grid-forming contre les surintensités et leur synchronisation post-défaut ont été étudiées, puis, des algorithmes de limitation de courant et de resynchronisation ont été proposés pour améliorer la stabilité transitoire du système. Un banc d'essai a été développé pour confirmer les approches théoriques proposéesThe rapid development of intermittent renewable generation and HVDC links yields an important increase of the penetration rate of power electronic converters in the transmission systems. Today, power converters have the main function of injecting power into the main grid, while relying on synchronous machines that guaranty all system needs. This operation mode of power converters is called "Grid-following". Grid-following converters have several limitations: their inability to operate in a standalone mode, their stability issues under weak-grids and faulty conditions and their negative side effect on the system inertia.To meet these challenges, the grid-forming control is a good solution to respond to the system needs and allow a stable and safe operation of power system with high penetration rate of power electronic converters, up to a 100%. Firstly, three grid-forming control strategies are proposed to guarantee four main features: voltage control, power control, inertia emulation and frequency support. The system dynamics and robustness based on each control have been analyzed and discussed. Then, depending on the converter topology, the connection with the AC grid may require additional filters and control loops. In this thesis, two converter topologies have been considered (2-Level VSC and VSC-MMC) and the implementation associated with each one has been discussed. Finally, the questions of the grid-forming converters protection against overcurrent and their post-fault synchronization have been investigated, and then a hybrid current limitation and resynchronization algorithms have been proposed to enhance the transient stability of the system. At the end, an experimental test bench has been developed to confirm the theoretical approach
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Nour, Fathy E. "The analysis of vibration signals during induction motor starting transients with a view to early fault detection". Thesis, Robert Gordon University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.294706.
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Vasile, Costin. "Characterization & detection of electric Arc Detection in Low-Voltage IEC Networks". Thesis, Université Grenoble Alpes (ComUE), 2018. http://www.theses.fr/2018GREAT008.
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Contexte & Motivation:Les installations électriques des bâtiments se détériorent au fil du temps et leur gravité et leur taux de détérioration dépendent de facteurs environnementaux (chaleur, humidité, réactions chimiques corrosives et vieillies isolations) ou d'actions externes indésirables telles que la manipulation humaine erronée, qui conduit à des charges ou des câbles/réseaux endommagés.L'European Fire Academy (EFA) et de nombreuses compagnies d'assurance indiquent que 25% des incendies de bâtiments sont d'origine électrique. Ces incendies peuvent être déclenchés par des circuits surchargés, des court-circuits, des courants de fuite à la terre, des surtensions et / ou des défauts d'arc électrique dans les connexions et les câbles.Les protections électriques classiques telles que les disjoncteurs et les disjoncteurs différentiels offrent une protection insuffisante. Par exemple, en cas de défauts d'arcs en série, la valeur du courant de défaut d'arc reste inférieure à la valeur du courant nominal, car elle est limitée par la résistance du carbone généré par le défaut d'arc. Dans ce cas, toute protection existante peut détecter ce type de faute.Détection de défaut d'arc : approche de traitement du signalDans le cadre de ce travail, l'objectif a été de détecter chaque instant d'arc, ce qui, pour un réseau alternatif, permettrait d'identifier correctement chaque arc dans chaque demi-cycle de réseau où il se produit.En fonction de la caractéristique numérique utilisée à des fins de détection, nous avons introduit différentes classes de méthodes:• Caractéristiques énergétiques (bandes étroite et large bande)• Caractéristiques statistiques (moments statistiques, analyse de la corrélation etc.)• Caractéristiques basées sur un model (ex. modelés AR, ARMA etc.)• Caractéristiques data-driven (utiliser Phase Space Embedding pour les séries temporelles)Chaque approche a été testée et évaluée sur une base de données de signaux construite avec soin, capable de fournir la variabilité du monde réel, dans un cadre d'évaluation statistique qui permet de trouver des seuils appropriés et leurs plages associées. Il donne également des performances relatives, d'une fonctionnalité à l'autre, en fonction de la façon dont les plages de seuils couvrent tout l'espace des caractéristiques.Une approche prometteuse est montrée avec un résultat intermédiaire sur la figure 8. La configuration est plutôt courante, avec une charge résistive (R-Load) en fonctionnement normal, avec un gradateur allumé et ajouté dans la configuration et un arc persistant apparaissant dans le circuit.Il suffit d'analyser simplement la forme d'onde du courant 50 Hz, car même lors d'une simple inspection visuelle, il est difficile d'identifier l'origine du défaut d'arc et s'il est stable ou s'il s'éteint après (ou où). En mesurant correctement le bruit de défaut d'arc haute fréquence et en sélectionnant correctement la bande passante, nous parvenons à obtenir un signal beaucoup plus facile à traiter. L'arc est difficile à détecter en raison de la variation de l'intensité énergétique d'un réseau à l'autre (encore plus: pour un même réseau, ajouter / enlever des charges ou des rallonges modifie la distribution d'amplitude et de fréquence de l'arc). Par conséquent, nous exploitons le caractère aléatoire intrinsèque de l'arc, ce qui permet une variabilité suffisante d'une réalisation d'arc à une autre.En conclusion, nous proposons une nouvelle méthodologie de traitement du signal pour la détection des défauts d'arc, à mettre en œuvre dans un algorithme de produit AFDD. En outre, une autre approche est présentée, basée sur l'analyse de diagramme de phase, qui permet la séparation entre les arcs et les signaux de communication, ce qui est également un grand défi dans ce domaineContext & Motivation:Electrical installations in buildings deteriorate, over time and the severity and rate of deterioration depend on environmental factors (such as heat, humidity, corrosive chemical reactions and aging insulations) and unwanted external actions (such as human mishandling, that leads to damaged devices or cables/network).Caution is mandatory when handling electrical installations, seeing that potential hazards include electric shocks, burns, explosions and fire, if proper safety precautions are ignored or neglected. The European Fire Academy (EFA) and many property and casualty insurance companies report that 25% of building fires are electrical in origin. These fires can be triggered by overloaded circuits, short-circuits, earth leakage currents, overvoltage and/or electrical arc faults in connections and cables.Classical electrical protection such as circuit breakers and RCDs offer insufficient protection. For example, in case of series arc faults, the arc fault current value remains below the rated current value, since it is limited by the resistance of the carbon generated by the arc fault and by the load itself. In this case, no existing protection can detect such kind of fault.Arc Fault Detection: Signal Processing ApproachIn the context of this work, the objective has been to detect each instant of arcing, which for an AC network, would mean correctly identifying each arcing in each network half-cycle where it occurs.Depending on the numerical feature used for detection purposes, we introduced different classes of methods:• Energy-related features (narrow and wideband)• Statistical features (statistical moments, correlation analysis etc.)• Model-based features (using numerical models, such as AR, for example)• Data-driven features (using Phase Space Embedding for time series)Each approach has been tested & evaluated on a carefully constructed signal database, capable of supplying real-world variability, within a statistical evaluation framework which enables finding suitable thresholds and their appropriate ranges. It also gives relative performances, from one feature to another, based on how threshold ranges cover the entire feature space.A promising approach is shown with an intermediary result in Figure 9. The configuration is rather common, with a resistive load (R – Load) in normal operation, with a dimmer being turned on and added in the configuration and a persistent arc appearing in the circuit.Figure 9 Resistive load, dimmer and persistent arcing – processing result (example).Simply analyzing the 50Hz line current waveform is insufficient, as even at a simple visual inspection there is difficulty in identifying where the arc fault ignites and if it is a stable one, or if it extinguishes afterwards (or where). By correctly measuring the high frequency arc fault noise and with correct selection of the bandwidth, we manage to obtain a signal much easier to process further on. Arcing is inherently difficult to detect, due to high frequency energy intensity variation from one network to another (even more: for the same network, adding/removing loads or extension cords will change the amplitude and frequency distribution of the arc fault energy). Therefore, we exploit the intrinsic randomness of arcing, which enables sufficient variability from one arcing realization to another.To conclude, we propose a new signal processing methodology for arc fault detection, to be implemented in an AFDD product algorithm. Also, another approach is presented, based on phase diagram analysis, that allows the separation between the arcs and communication signals, which is also a great challenge in this field
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Sheffield, Michael Harmon. "Impacts of Changing the Transit Signal Priority Requesting Threshold on Bus Performance and General Traffic: A Sensitivity Analysis". BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8521.
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A sensitivity analysis was performed on the transit signal priority (TSP) requesting threshold to evaluate its impact on bus performance and general traffic. Two distinct bus routes were evaluated to determine the optimal requesting threshold that would balance the positive impacts on bus performance with the negative impacts on general traffic. Route 217, a conventional bus route, and the Utah Valley Express (UVX), a bus rapid transit line, utilize a dedicated short-range communication (DSRC)-based TSP system as part of their normal, day-to-day operations. Using field-generated data exclusively, bus performance and general traffic were evaluated over a 7-month period from February through August 2019. Bus performance was evaluated through on-time performance (OTP), schedule deviation, travel time, and dwell time, while the traffic analysis was performed by evaluating split failure, change in green time, and the frequency at which TSP was served. The requesting thresholds evaluated for Route 217 were 5-, 3-, 2-, and 0-minutes, which stipulate how far behind schedule the bus must be in order to request TSP. For UVX, 5-minutes and 2-minutes, as well as ON and OFF scenarios were evaluated; ON meant the buses were always requesting regardless of how late they were, while OFF meant that no requests were made and operations would be as if there were no TSP at all. A combination of observational and statistical analyses concluded with convincing evidence that OTP, schedule deviation, and travel time improve as the requesting threshold approaches zero with negligible impacts to general traffic. For Route 217, as the requesting threshold changed from 3, to 2, to 0 minutes, OTP increased 2.0 and 2.5 percent, respectively, mean schedule deviation improved 15.9 and 20.9 seconds, respectively, and travel time decreased at 72 percent of timepoints. Meanwhile, negative impacts to traffic occurred if an increase in split failure was measured after TSP was served, a phenomenon observed a maximum of once every 43 minutes. For UVX, as the requesting threshold changed from 5, to 2 minutes, to ON, OTP increased 7.6 and 4.7 percent, respectively, mean schedule deviation improved 24.3 and 15.0 seconds, respectively, and travel time decreased between 72 percent of timepoints. Thus, it is concluded that under the TSP system as implemented, bus performance improves as the requesting threshold approaches zero with inconsequential impacts to general traffic.
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Feng, Wei. "Analyses of Bus Travel Time Reliability and Transit Signal Priority at the Stop-To-Stop Segment Level". PDXScholar, 2014. https://pdxscholar.library.pdx.edu/open_access_etds/1832.
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Transit travel time is affected by many factors including traffic signals and traffic condition. Transit agencies have implemented strategies such as transit signal priority (TSP) to reduce transit travel time and improve service reliability. However, due to the lack of empirical data, the joint impact of these factors and improvement strategies on bus travel time has not been studied at the stop-to-stop segment level.
This study utilizes and integrates three databases available along an urban arterial corridor in Portland, Oregon. Data sources include stop-level bus automatic vehicle location (AVL) and automatic passenger count (APC) data provided by the Tri-County Metropolitan Transportation District of Oregon (TriMet), the Sydney Coordinated Adaptive Traffic System (SCATS) signal phase log data, and intersection vehicle count data provided by the City of Portland. Based on the unique collection and integration of these fine granularity empirical data, this research utilizes multiple linear regression models to understand and quantify the joint impact of intersection signal delay, traffic conditions and bus stop location on bus travel time and its variability at stop-to-stop segments. Results indicate that intersection signal delay is the key factor that affects bus travel time variability. The amount of signal delay is nearly linearly associated with intersection red phase duration. Results show that the effect of traffic conditions (volumes) on bus travel time varies significantly by intersection and time of day.
This study also proposed new and useful performance measures for evaluating the effectiveness of TSP systems. Relationships between TSP requests (when buses are late) and TSP phases were studied by comparing TSP phase start and end times with bus arrival times at intersections. Results show that green extension phases were rarely used by buses that requested TSP and that most green extension phases were granted too late. Early green effectiveness (percent of effective early green phases) is much higher than green extension effectiveness. The estimated average bus and passenger time savings from an early green phase are also greater compared to the average time savings from a green extension phase. On average, the estimated delay for vehicles on the side street due to a TSP phase is less than the time saved for buses and automobiles on the major street.
Results from this study can be used to inform cities and transit agencies on how to improve transit operations. Developing appropriate strategies, such as adjusting bus stop consolidation near intersections and optimizing bus operating schedules according to intersection signal timing characteristics, can further reduce bus travel time delay and improve TSP effectiveness.
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Bayle, Jean-Baptiste. "Simulation and Data Analysis for LISA : Instrumental Modeling, Time-Delay Interferometry, Noise-Reduction Permormance Study, and Discrimination of Transient Gravitational Signals". Thesis, Université de Paris (2019-....), 2019. http://www.theses.fr/2019UNIP7123.
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Laser Interferometer Space Antenna est une mission de l'Agence Spatiale Européenne visant à mesurer les ondes gravitationnelles dans le domaine millimétrique. Trois satellites en formation triangulaire autour du Soleil s'échangent des faisceaux lasers. Les variations de distances entre masses d'épreuve, dues aux ondes gravitationnelles, sont mesurées au picomètre près. Plusieurs algorithmes de réduction des bruits instrumentaux qui contaminent les mesures sont utilisés avant l'extraction des signaux gravitationnels.Afin d'évaluer la performance de ces algorithmes, nous étudions la manière dont les bruits instrumentaux apparaissent dans les mesures, ainsi que leurs résidus après calibration. Un outil de simulation numérique flexible, destiné à générer les mesures de manière réaliste, permet de valider ces résultats. En effet, LISANode propage les séries temporelles de bruit entre les satellites et sur les bancs optiques, jusqu'aux phasemètres et aux ordinateurs embarqués. Il calcule aussi la réponse aux ondes gravitationnelles. Par ailleurs, LISANode permet de générer les combinaisons Time-Delay Interferometry exemptes de bruit laser, ainsi que la calibration pour les bruits d'horloge.Malheureusement, ces bruits ne disparaissent pas totalement si l'on tient compte des imperfections instrumentales et numériques. Nous étudions en particulier l'impact de la déformation de la constellation, ainsi que du traitement des données en vol. Nous modélisons le couplage déformation-filtrage et proposons une technique permettant de réduire cet effet. En outre, nous proposons une méthode de calibration exacte des bruits d'horloge. Les simulations permettent de valider ces résultats, et confirment la possibilité de réduire les bruits dominants aux niveaux requis.Nous considérons aussi les techniques d'apprentissage automatique pour discriminer les artéfacts instrumentaux et les signaux gravitationnels courts. Une étude analytique montre un couplage différemment dans les mesures, et les premières expériences suggèrent que certains réseaux de neurones peuvent distinguer ces deux types de signauxThe Laser Interferometer Space Antenna is a European Space Agency mission that aims to measure gravitational waves in the millihertz range. Three spacecraft are placed in a quasi-equilateral triangular formation whose barycenter trails the Earth on its heliocentric orbit. Laser beams are exchanged to monitor pico-metric variations between the test masses due to gravitational waves. Because various instrumental noise sources couple to the measurements, several data processing techniques are used to reduce them before we can extract gravitational-wave signals.To study these noise-reduction algorithms, we propose a realistic instrumental model. We investigate how the main noise sources appear in the measurements and work out their residuals in almost noise-free combinations. To validate these results, we develop a flexible numerical simulation tool that aims to generate realistic measurements: LISANode propagates noise time series between the spacecraft and in the optical benches, all the way down to the phasemeters and the on-board computers. It also computes the response to gravitational waves. LISANode is capable of executing the main noise-reduction algorithms, including the computation of Time-Delay Interferometry laser noise-free combinations, as well as clock-calibrated combinations.As we account for instrumental and numerical imperfections, noises do not exactly vanish in the final combinations. In particular, we study the performance hit of the constellation flexing and the on-board data processing on the laser-noise reduction. We model the flexing-filtering coupling and propose a technique to mitigate this effect. Moreover, we derive exact clock-noise calibration expressions. Simulations are used to validate these results and confirm that the dominant sources of noise can be reduced to the required levels.We also investigate machine-learning techniques to discriminate between instrumental glitches and transient gravitational signals. Analytic studies show that both appear differently in noise-free combinations and experiments suggest that some neural networks are capable of distinguishing between them
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Soares, Leonardo Bandeira. "Proposta e avaliação de técnicas para compressão de transitórios rápidos e análise tempo-frequência de distúrbios em redes elétricas AC". reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2013. http://hdl.handle.net/10183/80506.
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Este trabalho trata de conceitos relacionados à qualidade da Energia Elétrica (EE) e, neste contexto, apresenta a proposta de técnicas para a compressão da representação de transitórios rápidos e da análise tempo-frequência de distúrbios elétricos em geral. A qualidade da Energia Elétrica é medida pelo coeficiente de desvios que os sinais de tensão e corrente apresentam em relação ao sinal senoidal ideal. Tais desvios são denominados de distúrbios, podendo ser classificados como quase estacionários (e.g. distorção de harmônicas) e eventos (e.g. transitórios rápidos). No contexto de EE, os transitórios rápidos possuem pequena duração (i.e. na ordem dos microssegundos), são detectados por altas taxas de amostragem (i.e. na ordem dos MHz) e possuem difícil parametrização. Portanto, as representações das formas de onda geralmente são armazenadas para auxiliar a avaliação subjetiva dos transitórios e dos parâmetros de interesse. Consequentemente, a compressão destas formas de onda torna-se de extrema importância para armazenar dados adquiridos por longos períodos de tempo, e estes modos de compressão são tratados nesta dissertação. Em virtude das altas taxas de amostragem utilizadas, uma técnica baseada em Análise de Componentes Principais (PCA – Principal Component Analysis) é proposta para esta representação mais compacta de transitórios. Resultados mostram que o desempenho em compressão versus qualidade de reconstrução é semelhante ao de trabalhos relacionados com a vantagem de atender aos requisitos de altas taxas de amostragem. A análise tempo-frequência é um mecanismo que auxilia na classificação e caracterização dos distúrbios elétricos. Neste trabalho, a Transformada de Hilbert-Huang é estudada e uma proposta de melhoria na Decomposição Empírica de Modos (EMD – Empirical Mode Decomposition) é apresentada. Nossos resultados mostram que a técnica proposta economiza o custo computacional se comparada com o estado da arte. Em virtude disso, a técnica proposta apresenta uma taxa de redução no tempo médio de execução de 99,76 % em relação à técnica do estado da arte. Além disso, uma verificação acerca do desempenho em eficiência de compressão versus qualidade de reconstrução de trabalhos anteriores é também desenvolvida nesta dissertação. Foi utilizada uma sistemática de avaliação experimental com base em amostras de sinais AC, de forma a avaliar as taxas de compressão atingidas pelas técnicas estudadas, como a Transformada Wavelet Discreta. Resultados mostram que a Transformada Wavelet falha para compressão de todo e qualquer tipo de distúrbio elétrico quando analisado o compromisso entre acuidade de reconstrução versus eficiência de compressão.This work deals with concepts related to the AC Power Quality theoretical framework and, in this scope, proposes techniques for the representation of fast transient data compression and for the power line disturbances time-frequency analysis. The AC power quality is measured by the differences between actual and ideal sinusoidal voltage/current signals. These differences are known as electrical disturbances, which can be classified as quasi-stationary (e.g. harmonic distortion) or events (e.g. surge or fast transients) disturbances. In the AC Power Quality scope, the fast transients have short duration (i.e. typically on the order of microseconds), are detected by high sampling rates (i.e. typically on the order of MHz), and are hard to characterize and parameterize. Hence, the resultant representation of the waveforms is in general stored to help in the subjective evaluation of these fast transients and their parameters of interest. As a consequence the compression turns out to be of main concern, in order to store this information acquired over long periods of time (like weeks or months). In this work, a compression technique is proposed taking into account the high sampling rates. The proposed technique makes use of the Principal Component Analysis (PCA) for such compact representation of fast transients. The Compression efficiency versus reconstruction accuracy results show a similar performance for the proposed technique when compared to the related works. On the other hand, the proposed technique can handle the large amount of data provided by the high sampling rates. The time-frequency analysis helps in the classification and characterization of AC power quality disturbances. In this work, the Hilbert-Huang Transform is studied and a modification is proposed in order to improve the Empirical Mode Decomposition (EMD) performance. Our results show that the proposed modification can save computational cost when compared to the state-of-the-art. Therefore, the average execution time is reduced to 99.76 % in comparison with the state-of-the-art technique. Besides that, this work also revisits previous techniques based on the Discrete Wavelet Transform (DWT) in order to verify the trade-off between reconstruction accuracy versus compression efficiency under a more systematic experimental evaluation setup, considering samples of real AC signals. Results show that DWT fails as a general-purpose technique in AC Power Quality scope.
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Moraes, Francisco Jose Vicente de. "Teoria wavelet aplicada a analise de vibrações". [s.n.], 1996. http://repositorio.unicamp.br/jspui/handle/REPOSIP/264596.
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Orientador: Hans Ingo WeberDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecanica
Made available in DSpace on 2018-07-21T16:53:45Z (GMT). No. of bitstreams: 1 Moraes_FranciscoJoseVicentede_M.pdf: 6703520 bytes, checksum: aa677f747599094668ea06d0f7536ad9 (MD5) Previous issue date: 1996
Resumo: O conhecimento do comportamento dinâmico de equipamentos é importante, seja para o desenvolvimento e otimização de projetos ou para o monitoramento e diagnóstico de falhas de operação. Técnicas de processamento para extrair dos complicados sinais de vibrações mecânicas as informações pertinentes a cada análise têm sido investigadas. A análise de Fourier é capaz de revelar o conteúdo frequencial dos sinais. Porém. tal técnica é limitada à análise de sinais estacionários, já que os resultados obtidos são médias dentro do período amostrado, não distinguindo o instante de tempo em que um determinado evento ocorreu. Atualmente, cresce o interesse por sinais não estacionários, complexos. Em sua estrutura mas muito ricos em informações. Ateoria wavelet, capaz de fornecer informações locais de um sinal, é o objeto do presente estudo. A técnica consiste na decomposição do sinal em ondículas (wavelets) que, além de estarem relacionadas a um conteúdo frequencial. possuem um caráter localizado na linha do tempo. Assim, partindo da análise de Fourier, introduzimos os conceitos dessa nova técnica, bem como alguns exemplos práticos de aplicação
Abstract: The knowledge of the dynamic behaviour of machinery is important to develop modern design and condition monitoring. Thus, it is necessary to adequate appropriate processing methods in order to extract the desired informations from the complicated time domain mechanical vibration signals. The Fourier analysis has been extensively used to extract the frequency content from the signals. However, such technique is suitable only for stationary signals, since the given results correspond to average values on the sample period and do not discern the time location of discrete events. Nowadays, there has been a special interest on non-stationary signals, which have a complex structure but are very rich in informations about the real nature of the system. The wavelet theory, which is able to give local properties of a signal, is the subject of this workpiece. The technique consists on decomposing the given signal on small waves (wavelets), which are localised in both time and frequency domains. In the light of Fourier analysis, we introduce the bases of wavelet theory and some practical insights
Mestrado
Mecanica dos Sólidos e Projeto Mecanico
Mestre em Engenharia Mecânica
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Boehm, Christian Reiner. "Gene expression control for synthetic patterning of bacterial populations and plants". Thesis, University of Cambridge, 2017. https://www.repository.cam.ac.uk/handle/1810/267842.
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The development of shape in multicellular organisms has intrigued human minds for millenia. Empowered by modern genetic techniques, molecular biologists are now striving to not only dissect developmental processes, but to exploit their modularity for the design of custom living systems used in bioproduction, remediation, and regenerative medicine. Currently, our capacity to harness this potential is fundamentally limited by a lack of spatiotemporal control over gene expression in multicellular systems. While several synthetic genetic circuits for control of multicellular patterning have been reported, hierarchical induction of gene expression domains has received little attention from synthetic biologists, despite its fundamental role in biological self-organization. In this thesis, I introduce the first synthetic genetic system implementing population-based AND logic for programmed hierarchical patterning of bacterial populations of Escherichia coli, and address fundamental prerequisites for implementation of an analogous genetic circuit into the emergent multicellular plant model Marchantia polymorpha. In both model systems, I explore the use of bacteriophage T7 RNA polymerase as a gene expression engine to control synthetic patterning across populations of cells. In E. coli, I developed a ratiometric assay of bacteriophage T7 RNA polymerase activity, which I used to systematically characterize different intact and split enzyme variants. I utilized the best-performing variant to build a three-color patterning system responsive to two different homoserine lactones. I validated the AND gate-like behavior of this system both in cell suspension and in surface culture. Then, I used the synthetic circuit in a membrane-based spatial assay to demonstrate programmed hierarchical patterning of gene expression across bacterial populations. To prepare the adaption of bacteriophage T7 RNA polymerase-driven synthetic patterning from the prokaryote E. coli to the eukaryote M. polymorpha, I developed a toolbox of genetic elements for spatial gene expression control in the liverwort: I analyzed codon usage across the transcriptome of M. polymorpha, and used insights gained to design codon-optimized fluorescent reporters successfully expressed from its nuclear and chloroplast genomes. For targeting of bacteriophage T7 RNA polymerase to these cellular compartments, I functionally validated nuclear localization signals and chloroplast transit peptides. For spatiotemporal control of bacteriophage T7 RNA polymerase in M. polymorpha, I characterized spatially restricted and inducible promoters. For facilitated posttranscriptional processing of target transcripts, I functionally validated viral enhancer sequences in M. polymorpha. Taking advantage of this genetic toolbox, I introduced inducible nuclear-targeted bacteriophage T7 RNA polymerase into M. polymorpha. I showed implementation of the bacteriophage T7 RNA polymerase/PT7 expression system accompanied by hypermethylation of its target nuclear transgene. My observations suggest operation of efficient epigenetic gene silencing in M. polymorpha, and guide future efforts in chassis engineering of this multicellular plant model. Furthermore, my results encourage utilization of spatiotemporally controlled bacteriophage T7 RNA polymerase as a targeted silencing system for functional genomic studies and morphogenetic engineering in the liverwort. Taken together, the work presented enhances our capacity for spatiotemporal gene expression control in bacterial populations and plants, facilitating future efforts in synthetic morphogenesis for applications in synthetic biology and metabolic engineering.
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Pan, Shih-yu, e 潘時瑜. "Analysis of Transient Pressure Testing Data Using Digital Signal Processing". Thesis, 2008. http://ndltd.ncl.edu.tw/handle/32019853375982637110.
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博士國立成功大學
資源工程學系碩博士班
96
The purpose of this study is to utilize the convolution and deconvolution to analyze the pressure testing data, including obtaining source functions with various boundary conditions from simulations and using source functions to study the characteristics of source functions of a producing well in the different types of reservoirs. The solution of flowing fluid in the reservoir (or solutions of the diffusivity equation) can be represented by the relationship among the pressure, flow rate, and source function. With such relationship, in applying either convolution or deconvolution, the third unknown function can be obtained if the other two are known. The pressure drop can be obtained by convoluting flow rates and source functions. If the pressure drop and flow rates are known, the source functions can be derived by deconvoluting the other two. The source function is dependent on the boundary conditions of the reservoir, including the inner and outer boundary conditions. The inner boundary conditions investigated in this study include wellbore storage effects, skin effects, and partial penetrations. The outer boundary conditions studied are no flow boundary for a closed boundary reservoir, such as a finite reservoir, and water influx to a reservoir from an aquifer, such as water drive. The source function, changing with time, for wellbore storage effects is characterized by a horizontal line at a very early time stage. Then this coincides to the source function of the infinite surface cylinder, for the well without wellbore storage in an infinite reservoir, after the end of wellbore storage effects. The source functions with damage effects, i.e. positive skin factors, are almost the same. For a negative skin factor, the source function is a horizontal line at an early time that subsequently coincides with the infinite line source or infinite surface cylinder source functions. The source functions from wells with various penetration ratios are higher than the infinite surface cylinder source function, and then coincide to the infinite surface cylinder source function at a later time. The source functions for different external reservoir radii become horizontal lines at a late time or while the outer boundary is affected. The source function of the partially-penetrated well in the center of a reservoir with water coning is consistent with the source function of the partial penetration at an early time. Later, the source function for water coning is lower than the infinite surface cylinder source function. At a late time, when the water breaks through the wellbore, the source function is dependent on the reservoir permeability. The value of the source function for edgewater drive is lower than the infinite surface cylinder source function at a later time. Then the source function for a well producing water has higher value than it does for the infinite surface cylinder source function at a late time stage. The value of the source function for bottomwater drive coincides to the partially-penetrated source function at an early time, and then decreases dramatically at a late time. Finally, when the water breaks through the well, the source function suddenly becomes higher than the infinite surface cylinder source function.
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Wang, Chun-Chi, e 王俊棋. "Signal analysis of transient evoked otoacoustic emissions from Meniere's disease patients". Thesis, 2018. http://ndltd.ncl.edu.tw/handle/8qcypc.
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碩士國立清華大學
電機工程學系所
106
Otoacoustic emission (OAE) has the property for personal biometric identification. It can be measured in human's ear anytime, anywhere, and similar results can be got from the same ear. In the past, OAE usually measured at audiometer testing room and rather stable results would be obtained. In this study, we developed a system for transient evoked otoacoustic emission (TEOAE) measurement for the patients of Ménière disease (MD) at the hospital. TEOAE data were measured in a normal room, and the signal-to-noise ratio was 13.72 dB SPL in average. After giving an acoustic impulse, OAE components occur sequentially from higher to lower frequencies; for example, the delay time of the 1 kHz, 2 kHz and 4 kHz components are 11 ms, 7.1 ms and 4.6 ms, respectively. To find the relation between TEOAE and disease, we compared the data with patient's pure tone audiometry (PTA) and distortion product otoacoustic emissions (DPOAEs). We cooperated with Cathay general hospital and collected 23 MD patients with different illness degrees: certain, possible, probable, stage I, stage II and stage III. Totally, 78 cases of MD ears, 129 cases of non-MD ears and 18 cases of normal hearing ears were recorded. For objects with hearing loss, which means the PTA is greater than 25 dB SPL, the energy of both TEOAE and DPOAE is less than that for normal hearing objects. If the PTA is over 40 dB SPL, almost no OAE signal can be found in those cases. For those MD objects with normal hearing or mild hearing loss, the energy of TEOAE is 3.86 × 10 ^(-10) Pa ^2 in average and is still weaker than that for health hearing objects, which is 1.33 × 10 ^(-9) Pa ^2 in average.
41
Chi, Huang Chun, e 黃俊祺. "A study on the Real-Time Analysis of Transient Signal with Wavelet Theory". Thesis, 2001. http://ndltd.ncl.edu.tw/handle/14581236653164256201.
Texto completo da fonteResumo:
碩士國立臺灣大學
造船及海洋工程學研究所
89
Signal detection is an important topic to increase signal to noise ratio and to execute the real-time monitoring. In present study, the wavelets theory is used to analyze the transient signal. The character of localization and the multiresolution capability of the wavelets theory can separate the signal and noise effectively. Thus it is suitable for the real-time analysis. In this work, a real-time measuring system that use SIMULINK® and C++ software to build the wavelet model based on the TMS320C32 Board is established. Some simple transient signals have been put in the system to test its efficiency. The result of C++ software is better than that of SIMULINK® . However, it still needs improvements to used in real situations.
42
Shin, Yong June. "Theory and application of time-frequency analysis to transient phenomena in electric power and other physical systems". Thesis, 2004. http://hdl.handle.net/2152/1261.
Texto completo da fonte
43
Venkitaraman, Arun. "Generalized Analytic Signal Construction and Modulation Analysis". Thesis, 2013. http://etd.iisc.ac.in/handle/2005/3316.
Texto completo da fonteResumo:
This thesis deals with generalizations of the analytic signal (AS) construction proposed by Gabor. Functional extensions of the fractional Hilbert Transform (FrHT) are proposed using which families of analytic signals are obtained. The construction is further applied in the design of a secure communication scheme. A demodulation scheme is developed based on the generalized AS, motivated by perceptual experiments in binaural hearing. Demodulation is achieved using a signal and its arbitrary phase-shifted version which, in turn translated to demodulation using a pair of flat-top bandpass filters that form an FrHT parir.
A new family of wavelets based on the popular Gammatone auditory model is proposed and is shown to lead to a good characterization of singularities/transients in a signal. Allied problems of computing smooth amplitude, phase, and frequency modulations from the AS. Construction of FrHT pair of wavelets, and temporal envelope fit of transient audio signals are also addressed.
44
Venkitaraman, Arun. "Generalized Analytic Signal Construction and Modulation Analysis". Thesis, 2013. http://etd.iisc.ernet.in/2005/3316.
Texto completo da fonteResumo:
This thesis deals with generalizations of the analytic signal (AS) construction proposed by Gabor. Functional extensions of the fractional Hilbert Transform (FrHT) are proposed using which families of analytic signals are obtained. The construction is further applied in the design of a secure communication scheme. A demodulation scheme is developed based on the generalized AS, motivated by perceptual experiments in binaural hearing. Demodulation is achieved using a signal and its arbitrary phase-shifted version which, in turn translated to demodulation using a pair of flat-top bandpass filters that form an FrHT parir.
A new family of wavelets based on the popular Gammatone auditory model is proposed and is shown to lead to a good characterization of singularities/transients in a signal. Allied problems of computing smooth amplitude, phase, and frequency modulations from the AS. Construction of FrHT pair of wavelets, and temporal envelope fit of transient audio signals are also addressed.
45
Priyamvada, Indla Rajitha Sai. "Analysis and Enhancement of Stability of Power Systems with Utility-scale Photovoltaic Power Plants". Thesis, 2021. https://etd.iisc.ac.in/handle/2005/5566.
Texto completo da fonteResumo:
Owing to the negative impact of carbon emissions on environment, power systems are experiencing a paradigm shift in power generation. The fossil fuel-based generators that utilize synchronous machines are increasingly being replaced by the renewables such as Photovoltaic (PV) generators. Utility-scale PV power plants are coming up in the various parts of the world. Power electronic interface, control strategies and lack of inherent rotational element are the main factors that distinguish PV generation from Synchronous Generators (SGs). In addition, the time constants of the PV control loops and Phase Locked Loop (PLL) are of the same order unlike the SGs. The power electronic interface offers a better control over the electrical energy generated by the PV generators. However, the power electronic interface brings new challenges to power system stability. This research work focuses on addressing transient and small-signal stability issues of grid connected utility scale PV power plants.
In conventional power systems, swing equation of SGs and (extended) equal area criterion are used to assess the transient stability of power system. However, the same analysis techniques may not be applicable for PV generators. In this research work, transient stability assessment criteria are developed for grid connected PV generator with two different control strategies viz., PQ control and Vdc - Q control (with/without support functionalities). The proposed criteria are developed considering the outer and inner control loop, PLL and filter dynamics of PV generator. PSCAD simulations are carried out on a two-bus system and a modified IEEE-39 bus system to validate the proposed criterion. The stability criteria are found to effectively assess the stability of grid connected utility scale PV generators.
The power transfer capability of transmission network is limited by thermal limits, voltage limits and stability limits. Power transfer capability of transmission lines emanating from PV generators considering thermal and voltage limits is explored well in the literature. However, there is a lack of literature on stability constrained power transfer capability limit. In this research work, adaptive control-based tuning laws are proposed for grid connected PV generators to improve the stability constrained power transfer capability. The adaptive tuning laws are derived based on the Lyapunov energy function analysis. The Lyapunov functions are formulated using the summation of squares of the PI block errors and difference between the PI parameter values from their optimal values. Time domain simulations are carried out on a two-bus system and a modified IEEE-39 bus system to validate the proposed tuning laws. From time domain simulations, it is observed that the proposed tuning laws are found to effectively improve the stability limit on power transfer to the voltage limit.
The increased penetration of PV generations into power systems has also brought qualitative changes in small signal stability of power systems. Two new categories of oscillation modes are introduced into power systems which have participation from PV state variables. As the mode shape of the two new categories of oscillation modes is different from that of SG modes, the power system stabilizer design should be revisited. In this research work, H1 control-based power system stabilizer is developed considering the controllability and observability of the new categories of oscillation modes. The effectiveness of the developed stabilizer in providing sufficient damping to the new categories of oscillation modes is validated through PSCAD simulations on a modified IEEE-39 bus system.
As power systems are large interconnected systems, the increased penetration of PV generation has resulted in notable interaction among PV generators and SGs. Investigation of the interaction among generators is important to understand the dynamic behaviour of overall power system when subjected to disturbances. This research work is carried out to understand the interaction among PV and SGs. The interaction is analysed through investigation of interaction among oscillation modes of PV generation and SG. A mathematical formulation to quantify the interaction among the oscillation modes of PV generations and SGs is proposed. A modified IEEE-39 bus system is considered to carry out the interaction study and validate the results obtained from mathematical formulations.TCE, CSR grant
46
Chou, Hsiang-Wen, e 周相文. "Detection of Transient Signals Using Higher-Order Spectra Analysis". Thesis, 1994. http://ndltd.ncl.edu.tw/handle/09761984312973137941.
Texto completo da fonteResumo:
碩士國立海洋大學
電子工程學系
82
The received signals in Sonar, Radar, and many other surveillance systems are generally expressed in non-stationary non-Gaussian stochastic processes, and they must be processed by appropriate time-frequency analysis methods in order to obtain correct information, especailly for the weak (low or negative SNR) non-stationary transient signals. The objective of this thesis is to search for pertinent processing algorithms for detection and identification of transient signals using higher-order spectra (HOS), and to develop technique which can be applied to underwater acoustic signal processing or the Sonar system. There are three motivations behind the use of HOS in signal processing, namely, to extract information due to deviations from Gaussianity, to identify non-minimum phase signals and to detect and characterize nonlinear mechanism. Thus HOS play a key role in growing applications of engineering and science. Higher-order spectra are investigated in this thesis, including the conventional indirect and direct methods of HOS estimation via moment and cumulant, and Wigner higher- order spectra (WHOS). Different transient signals contaminated by various noises are detected with simulation and analysis using MATLAB. In order that the proposed algorithms are feasible for digital hardware implementation in the near future, so LabVIEW is used to built up the algorithms.
47
Binns, Malcolm Angus. "Some aspects of segmented regression analysis relevant to temporal localisation in transient neuroelectric signals". 2007. http://link.library.utoronto.ca/eir/EIRdetail.cfm?Resources__ID=478963&T=F.
Texto completo da fonte
48
Shenoy, Ravi R. "Spectral And Temporal Zero-Crossings-Based Signal Analysis". Thesis, 2016. https://etd.iisc.ac.in/handle/2005/2660.
Texto completo da fonteResumo:
We consider real zero-crossing analysis of the real/imaginary parts of the spectrum, namely, spectral zero-crossings (SZCs). The two major contributions are to show that: (i) SZCs provide enable temporal localization of transients; and (b) SZCs are suitable for modeling transient signals. We develop a spectral dual of Kedem’s result linking temporal zero-crossing rate (ZCR) to the spectral centroid. The key requirement is stationarity, which we achieve through random-phase modulations of the time-domain signal. Transient signals are not amenable to modelling in the time domain since they are bursts of energy localized in time and lack structure. We show that the spectrum of transient signals have a rich modulation structure, which leads to an amplitude-modulation – frequency-modulation (AM-FM) model of the spectrum.
We generalize Kedem’s arc-cosine formula for lags greater than one. For the specific case of a sinusoid in white Gaussian noise, He and Kedem devised an iterative filtering algorithm, which leads to a contraction mapping. An autoregressive filter of order one is employed and the location of the pole is the parameter that is updated based on the filtered output. We use the higher-order property, which relates the autocorrelation to the expected ZCR of the filtered process, between lagged ZCR and higher-lag autocorrelation to develop an iterative higher-order autoregressive-filtering scheme, which stabilizes the ZCR and consequently provides robust estimates of the autocorrelation at higher lags.
Next, we investigate ZC properties of critically sampled outputs of a maximally decimated M-channel power complementary analysis filterbank (PCAF) and derive the relationship between the ZCR of the input Gaussian process at lags that are integer multiples of M in terms of the subband ZCRs. Based on this result, we propose a robust autocorrelation estimator for a signal consisting of a sum of sinusoids of fixed amplitudes and uniformly distributed random phases. Robust subband ZCRs are obtained through iterative filtering and the subband variances are estimated using the method-of-moments estimator. We compare the performance of the proposed estimator with the sample auto-correlation estimate in terms of bias, variance, and mean-squared error, and show through simulations that the performance of the proposed estimator is better than the sample auto- correlation for medium to low SNR.
We then consider the ZC statistics of the real/imaginary parts of the discrete Fourier spectrum. We introduce the notion of the spectral zero-crossing rate (SZCR) and show that, for transients, it gives information regarding the location of the transient. We also demonstrate the utility of SZCR to estimate interaural time delay between the left and right head-related impulse responses. The accuracy of interaural time delay plays a vital role in binaural synthesis and a comparison of the performance of the SZCR estimates with that of the cross-correlation estimates illustrate that spectral zeros alone contain enough information for accurately estimating interaural time delay. We provide a mathematical formalism for establishing the dual of the link between zero-crossing rate and spectral centroid. Specifically, we show that the expected SZCR of a stationary spectrum is a temporal centroid. For a deterministic sequence, we obtain the stationary spectrum by modulating the sequence with a random phase unit amplitude sequence and then computing the spectrum. The notion of a stationary spectrum is necessary for deriving counterparts of the results available in temporal zero-crossings literature. The robustness of location information embedded in SZCR is analyzed in presence of a second transient within the observation window, and also in the presence of additive white Gaussian noise. A spectral-domain iterative filtering scheme based on autoregressive filters is presented and improvement in the robustness of the location estimates is demonstrated. As an application, we consider epoch estimation in voiced speech signals and show that the location information is accurately estimated using spectral zeros than other techniques.
The relationship between temporal centroid and SZCR also finds applications in frequency-domain linear prediction (FDLP), which is used in audio compression. The prediction coefficients are estimated by solving the Yule-Walker equations constructed from the spectral autocorrelation. We use the relationship between the spectral autocorrelation and temporal centroid to obtain the spectral autocorrelation directly by time-domain windowing without explicitly computing the spectrum. The proposed method leads to identical results as the standard FDLP method but with reduced computational load.
We then develop a SZCs-based spectral-envelope and group-delay (SEGD) model, which finds applications in modelling of non-stationary signals such as Castanets. Taking into account the modulation structure and spectral continuity, local polynomial regression is performed to estimate the GD from the real spectral zeros. The SE is estimated based on the phase function computed from the estimated GD. Since the GD estimate is parametric, the degree of smoothness can be controlled directly. Simulation results based on synthetic transient signals are presented to analyze the noise-robustness of the SE-GD model. Applications to castanet modeling, transient compression, and estimation of the glottal closure instants in speech are shown.
49
Shenoy, Ravi R. "Spectral And Temporal Zero-Crossings-Based Signal Analysis". Thesis, 2016. http://etd.iisc.ernet.in/handle/2005/2660.
Texto completo da fonteResumo:
We consider real zero-crossing analysis of the real/imaginary parts of the spectrum, namely, spectral zero-crossings (SZCs). The two major contributions are to show that: (i) SZCs provide enable temporal localization of transients; and (b) SZCs are suitable for modeling transient signals. We develop a spectral dual of Kedem’s result linking temporal zero-crossing rate (ZCR) to the spectral centroid. The key requirement is stationarity, which we achieve through random-phase modulations of the time-domain signal. Transient signals are not amenable to modelling in the time domain since they are bursts of energy localized in time and lack structure. We show that the spectrum of transient signals have a rich modulation structure, which leads to an amplitude-modulation – frequency-modulation (AM-FM) model of the spectrum.
We generalize Kedem’s arc-cosine formula for lags greater than one. For the specific case of a sinusoid in white Gaussian noise, He and Kedem devised an iterative filtering algorithm, which leads to a contraction mapping. An autoregressive filter of order one is employed and the location of the pole is the parameter that is updated based on the filtered output. We use the higher-order property, which relates the autocorrelation to the expected ZCR of the filtered process, between lagged ZCR and higher-lag autocorrelation to develop an iterative higher-order autoregressive-filtering scheme, which stabilizes the ZCR and consequently provides robust estimates of the autocorrelation at higher lags.
Next, we investigate ZC properties of critically sampled outputs of a maximally decimated M-channel power complementary analysis filterbank (PCAF) and derive the relationship between the ZCR of the input Gaussian process at lags that are integer multiples of M in terms of the subband ZCRs. Based on this result, we propose a robust autocorrelation estimator for a signal consisting of a sum of sinusoids of fixed amplitudes and uniformly distributed random phases. Robust subband ZCRs are obtained through iterative filtering and the subband variances are estimated using the method-of-moments estimator. We compare the performance of the proposed estimator with the sample auto-correlation estimate in terms of bias, variance, and mean-squared error, and show through simulations that the performance of the proposed estimator is better than the sample auto- correlation for medium to low SNR.
We then consider the ZC statistics of the real/imaginary parts of the discrete Fourier spectrum. We introduce the notion of the spectral zero-crossing rate (SZCR) and show that, for transients, it gives information regarding the location of the transient. We also demonstrate the utility of SZCR to estimate interaural time delay between the left and right head-related impulse responses. The accuracy of interaural time delay plays a vital role in binaural synthesis and a comparison of the performance of the SZCR estimates with that of the cross-correlation estimates illustrate that spectral zeros alone contain enough information for accurately estimating interaural time delay. We provide a mathematical formalism for establishing the dual of the link between zero-crossing rate and spectral centroid. Specifically, we show that the expected SZCR of a stationary spectrum is a temporal centroid. For a deterministic sequence, we obtain the stationary spectrum by modulating the sequence with a random phase unit amplitude sequence and then computing the spectrum. The notion of a stationary spectrum is necessary for deriving counterparts of the results available in temporal zero-crossings literature. The robustness of location information embedded in SZCR is analyzed in presence of a second transient within the observation window, and also in the presence of additive white Gaussian noise. A spectral-domain iterative filtering scheme based on autoregressive filters is presented and improvement in the robustness of the location estimates is demonstrated. As an application, we consider epoch estimation in voiced speech signals and show that the location information is accurately estimated using spectral zeros than other techniques.
The relationship between temporal centroid and SZCR also finds applications in frequency-domain linear prediction (FDLP), which is used in audio compression. The prediction coefficients are estimated by solving the Yule-Walker equations constructed from the spectral autocorrelation. We use the relationship between the spectral autocorrelation and temporal centroid to obtain the spectral autocorrelation directly by time-domain windowing without explicitly computing the spectrum. The proposed method leads to identical results as the standard FDLP method but with reduced computational load.
We then develop a SZCs-based spectral-envelope and group-delay (SEGD) model, which finds applications in modelling of non-stationary signals such as Castanets. Taking into account the modulation structure and spectral continuity, local polynomial regression is performed to estimate the GD from the real spectral zeros. The SE is estimated based on the phase function computed from the estimated GD. Since the GD estimate is parametric, the degree of smoothness can be controlled directly. Simulation results based on synthetic transient signals are presented to analyze the noise-robustness of the SE-GD model. Applications to castanet modeling, transient compression, and estimation of the glottal closure instants in speech are shown.
50
CHANG, YU-SIN, e 張玉信. "The Transient Analysis of the Organic Light-Emitting Diode Driven by Pulse-Width Modulation Signals". Thesis, 2019. http://ndltd.ncl.edu.tw/handle/k2rwhy.
Texto completo da fonteResumo:
碩士國立臺北科技大學
光電工程系
107
This thesis research applies Pulse-Width Modulation (PWM) technique to investigate the feasibility of reducing current-surge phenomena as an organic light-emitting diode (OLED) is driven by pulse-wise signal. The occurrence of current-surge is mainly caused by the capacitive effect of an OLED in which the organic layers are sandwiched by anode and cathode electrodes. We used PSPICE simulation tool to reproduce the current-surge phenomena by using the equivalent-circuit model of an OLED and calculate the differences of peak-to-peak values before and after applying various PWM signals. Our simulation suggests that peak values of the surge can be reduced as narrowing the pulse-width. Our simulation result reveals that the peak values of the surge can be reduced up to 63.68% and 86.25% by applying proper PWM waveforms under constant power and average-current modes respectively.