Relevant bibliographies by topics / Online diagnostic system

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Online diagnostic system'

Author: Grafiati
Published: 28 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Online diagnostic system"

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Kozitsin, Viacheslav, Iurii Katser, and Dmitry Lakontsev. "Online Forecasting and Anomaly Detection Based on the ARIMA Model." Applied Sciences 11, no. 7 (April 2, 2021): 3194. http://dx.doi.org/10.3390/app11073194.

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Real-time diagnostics of complex technical systems such as power plants are critical to keep the system in its working state. An ideal diagnostic system must detect any fault in advance and predict the future state of the technical system, so predictive algorithms are used in the diagnostics. This paper proposes a novel, computationally simple algorithm based on the Auto-Regressive Integrated Moving Average model to solve anomaly detection and forecasting problems. The good performance of the proposed algorithm was confirmed in numerous numerical experiments for both anomaly detection and forecasting problems. Moreover, a description of the Autoregressive Integrated Moving Average Fault Detection (ARIMAFD) library, which includes the proposed algorithms, is provided in this paper. The developed algorithm proves to be an efficient algorithm and can be applied to problems related to anomaly detection and technological parameter forecasting in real diagnostic systems.
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Hajar Mat Jani, and Rozita Yati Masri. "An Improved Online Mental Status Examination System and Mental Health Diagnostic System." INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences 3, no. 9 (October 31, 2011): 66–75. http://dx.doi.org/10.4156/aiss.vol3.issue9.9.

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Ge Ming, Xu Yangsheng, and Du Ruxu. "An Intelligent Online Monitoring and Diagnostic System for Manufacturing Automation." IEEE Transactions on Automation Science and Engineering 5, no. 1 (January 2008): 127–39. http://dx.doi.org/10.1109/tase.2006.886833.

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Loboda, Igor, Luis Angel Miró Zárate, Sergiy Yepifanov, Cristhian Maravilla Herrera, and Juan Luis Pérez Ruiz. "Estimation of Gas Turbine Unmeasured Variables for an Online Monitoring System." International Journal of Turbo & Jet-Engines 37, no. 4 (November 18, 2020): 413–28. http://dx.doi.org/10.1515/tjj-2017-0065.

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AbstractOne of the main functions of gas turbine monitoring is to estimate important unmeasured variables, for instance, thrust and power. Existing methods are too complex for an online monitoring system. Moreover, they do not extract diagnostic features from the estimated variables, making them unusable for diagnostics. Two of our previous studies began to address the problem of “light” algorithms for online estimation of unmeasured variables. The first study deals with models for unmeasured thermal boundary conditions of a turbine blade. These models allow an enhanced prediction of blade lifetime and are sufficiently simple to be used online. The second study introduces unmeasured variable deviations and proves their applicability. However, the algorithms developed were dependent on a specific engine and a specific variable. The present paper proposes a universal algorithm to estimate and monitor any unmeasured gas turbine variables. This algorithm is based on simple data-driven models and can be used in online monitoring systems. It is evaluated on real data of two different engines affected by compressor fouling. The results prove that the estimates of unmeasured variables are sufficiently accurate, and the deviations of these variables are good diagnostic features. Thus, the algorithm is ready for practical implementation.
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Chaoui, Hicham, Asmae El Mejdoubi, Amrane Oukaour, and Hamid Gualous. "Online System Identification for Lifetime Diagnostic of Supercapacitors With Guaranteed Stability." IEEE Transactions on Control Systems Technology 24, no. 6 (November 2016): 2094–102. http://dx.doi.org/10.1109/tcst.2016.2520911.

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Angeli, Chrissanthi, and Derek Atherton. "A Model-Based Method for an Online Diagnostic Knowledge-Based System." Expert Systems 18, no. 3 (July 2001): 150–58. http://dx.doi.org/10.1111/1468-0394.00167.

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Yang, Cheng Gang, Chun Hui Zhang, Jing Yi Zhao, and Shi Ming Zhao. "Research on Active Online Diagnosis Technology of Hydraulic System." Applied Mechanics and Materials 599-601 (August 2014): 1032–35. http://dx.doi.org/10.4028/www.scientific.net/amm.599-601.1032.

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Based on the introduction of the hydraulic diagnostic techniques which are commonly used and existed defects in these methods, the active hydraulic diagnosis technology is put forward. Besides, theory analysis of active online test is elaborated. The theory of active diagnose is used in the hydraulic system of heavy transporter to describe online diagnosis method. The results show that the active hydraulic diagnosis is appropriate for all kinds of hydraulic system which is a general diagnosis method.
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Qawqzeh, Yousuf, and Khalid Nazim Abdul Sattar. "Online Diagnostic Expert System for Detection of Breast Cancer in Saudi Arabia." International Journal of Computer Applications 113, no. 6 (March 18, 2015): 40–47. http://dx.doi.org/10.5120/19833-1686.

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Jing, Lu Yang, Tai Yong Wang, Dong Xiang Chen, and Jing Xiang Fang. "Design and Implementation of Online Monitoring and Remote Diagnostic System for CNC Machine Tools." Advanced Materials Research 819 (September 2013): 136–39. http://dx.doi.org/10.4028/www.scientific.net/amr.819.136.

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With the development of network technology and fault diagnosis technology, monitoring and diagnosis methods for the CNC machine tools had a great change. In this paper, an online monitoring and remote diagnosis system for CNC machine tools was built. The system was consisted of the multi-channel online acquisition system and remote fault diagnosis system. The online acquisition system achieved a real-time monitoring for CNC machine tools. The remote fault diagnosis system provided the management of devices and assistant for experts to analyze data which was uploaded from acquisition system. The system offered real-time state information of CNC machine tools and reduced downtime of machine effectively.
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Fujimura, Tatsuhiro, Takayuki Okamura, Kazuki Furuya, Yosuke Miyazaki, Hitoshi Takenaka, Hiroki Tateishi, Tetsuro Oda, et al. "Comparison of diagnostic performance in assessing the rewiring position into a jailed side branch between online 3D reconstruction systems version 1.1 and 1.2 derived from optical frequency domain imaging." Cardiovascular Intervention and Therapeutics 35, no. 4 (November 9, 2019): 336–42. http://dx.doi.org/10.1007/s12928-019-00629-2.

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Abstract The three-dimensional reconstruction of optical coherence tomography and optical frequency domain imaging (3D-OCT/OFDI) helps optimize bifurcation percutaneous coronary interventions (PCIs) with side branch (SB) dilatation by identifying the optimal rewiring position. 3D-OCT/OFDI’s diagnostic performance for assessing the rewiring position into a jailed SB is unknown. We retrospectively evaluated the diagnostic performances of a conventional (ver. 1.1) and a new (ver. 1.2) online 3D-OFDI reconstruction system based on an offline 3D reconstruction system’s performance. We analyzed 45 patients’ 52 OFDI pullbacks with main vessel stenting followed by rewiring into a jailed SB for coronary bifurcation lesions. We counted the undetected stent struts in the polygon of confluence as the stent detection performance. We assessed the diagnostic agreement regarding the rewiring position into a jailed SB by the three 3D reconstruction systems. The percentage of undetected struts and the diagnostic agreement of ver.1.2 were significantly better than those of ver.1.1 [5.1 ± 5.1% vs. 30.2 ± 14.2%; p < 0.0001, and 94.2% (49/52) vs. 76.9% (40/52); p = 0.0120]. The new online 3D-OFDI reconstruction system provides better diagnostic performance than the conventional online system for assessing the rewiring position into a jailed SB.
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Dissertations / Theses on the topic "Online diagnostic system"

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Cirhanová, Iva. "Zpracování dat z online diagnostického systému." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-443756.

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This master thesis deals with data processing from an online diagnostic system. The theoretical part of the work is divided into three chapters, the first deals with technical diagnostics as such, there are basic terminology and concepts associated with technical diagnostics, such as diagnostic methods, tools, models and signals. The second part is focused on diagnostic systems and their division. This chapter also provides some examples of online diagnostic monitoring systems from three different companies. The last chapter of the theoretical part is devoted to the description of the possibilities of data collection from diagnostic systems, ie. description of communication buses and protocols. The practical part of this work focuses on creating an application for data collection and visualization.
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Kříž, Petr. "Online vibrační diagnostika vřetene frézovacího stroje DATRON." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2019. http://www.nusl.cz/ntk/nusl-402508.

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This master’s thesis deals with online vibration diagnostics of the milling machine spindle. It is aimed at the implementation of the complex online vibration diagnostics system to chosen milling machine, the suggestion of the vibration measurement system and the suggestion of the evaluation of changes of the technical condition of this milling machine spindle. The description of the vibration diagnostics, the description of the milling machine spindle construction and function and the suggestions for the practical application of vibration diagnostics are also parts of this thesis.
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NAIK, SAURABH. "ONLINE DOCUMENTATION AND DIAGNOSTIC SYSTEM FOR THE BEARCAT CUB." University of Cincinnati / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1100799703.

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Zářecký, Tomáš. "Online diagnostika obráběcích strojů." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-417767.

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This thesis deals with vibration diagnostics and on-line monitoring systems of several producers. Furthermore, this thesis contains a description and evaluation of measuring the vibrations of the machine tool spindle when machining test samples with different cutting conditions and evaluating the surface quality of test samples.
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Li, Zhongliang. "Data-driven fault diagnosis for PEMFC systems." Thesis, Aix-Marseille, 2014. http://www.theses.fr/2014AIXM4335/document.

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Cette thèse est consacrée à l'étude de diagnostic de pannes pour les systèmes pile à combustible de type PEMFC. Le but est d'améliorer la fiabilité et la durabilité de la membrane électrolyte polymère afin de promouvoir la commercialisation de la technologie des piles à combustible. Les approches explorées dans cette thèse sont celles du diagnostic guidé par les données. Les techniques basées sur la reconnaissance de forme sont les plus utilisées. Dans ce travail, les variables considérées sont les tensions des cellules. Les résultats établis dans le cadre de la thèse peuvent être regroupés en trois contributions principales.La première contribution est constituée d'une étude comparative. Plus précisément, plusieurs méthodes sont explorées puis comparées en vue de déterminer une stratégie précise et offrant un coût de calcul optimal.La deuxième contribution concerne le diagnostic online sans connaissance complète des défauts au préalable. Il s'agit d'une technique adaptative qui permet d'appréhender l'apparition de nouveaux types de défauts. Cette technique est fondée sur la méthodologie SSM-SVM et les règles de détection et de localisation ont été améliorées pour répondre au problème du diagnostic en temps réel.La troisième contribution est obtenue à partir méthodologie fondée sur l'utilisation partielle de modèles dynamiques. Le principe de détection et localisation de défauts est fondé sur des techniques d'identification et sur la génération de résidus directement à partir des données d'exploitation.Toutes les stratégies proposées dans le cadre de la thèse ont été testées à travers des données expérimentales et validées sur un système embarqué
Aiming at improving the reliability and durability of Polymer Electrolyte Membrane Fuel Cell (PEMFC) systems and promote the commercialization of fuel cell technologies, this thesis work is dedicated to the fault diagnosis study for PEMFC systems. Data-driven fault diagnosis is the main focus in this thesis. As a main branch of data-driven fault diagnosis, the methods based on pattern classification techniques are firstly studied. Taking individual fuel cell voltages as original diagnosis variables, several representative methodologies are investigated and compared from the perspective of online implementation.Specific to the defects of conventional classification based diagnosis methods, a novel diagnosis strategy is proposed. A new classifier named Sphere-Shaped Multi-class Support Vector Machine (SSM-SVM) and modified diagnostic rules are utilized to realize the novel fault recognition. While an incremental learning method is extended to achieve the online adaptation.Apart from the classification based diagnosis approach, a so-called partial model-based data-driven approach is introduced to handle PEMFC diagnosis in dynamic processes. With the aid of a subspace identification method (SIM), the model-based residual generation is designed directly from the normal and dynamic operating data. Then, fault detection and isolation are further realized by evaluating the generated residuals.The proposed diagnosis strategies have been verified using the experimental data which cover a set of representative faults and different PEMFC stacks. The preliminary online implementation results with an embedded system are also supplied
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Rázgová, Benedikta. "Online diagnostika obráběcího stroje MCV 754." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-417766.

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This master’s thesis deals with online diagnostics of the machine tool and marginal analysis of surface texture. The first part of the thesis deals with problems theoretically, there are described the machine tools, maintenance, methods of technical diagnostics, specifically online vibrodiagnostic systems and an overview of profile and area parameters. In the practical part, two test samples created under ideal and degraded conditions. In the practical part, two signal processing processes under ideal and degraded conditions are compared using signal analysis from an online vibrodiagnostic system and surface texture analysis. Part of the work is the evaluation of the performed analyzes and recommendations for practice.
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Sojer, Dominik [Verfasser]. "Synthesis of Online Diagnostic Techniques for Embedded Systems / Dominik Sojer." München : Verlag Dr. Hut, 2013. http://d-nb.info/1042308551/34.

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Shahin, Kamrul. "Modèle graphique probabiliste appliqué au diagnostic de l'état de santé des systèmes, au pronostic et à l'estimation de la durée de vie résiduelle." Electronic Thesis or Diss., Université de Lorraine, 2020. http://www.theses.fr/2020LORR0129.

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Cette thèse contribue au développement des recherches dans le domaine du Pronostic et Health Management : gestion de l’état de santé des systèmes complexes. Dans un contexte de management opérationnel et de sûreté de fonctionnement des systèmes, nous proposons d’étudier comment la modélisation par un Modèle Graphique Probabiliste Dynamique (MGPD) permet le diagnostic de l’état de santé courant d’un système, le pronostic de cet état et de l’évolution des dégradations, ainsi que l’estimation de sa durée de vie résiduelle en fonction de ses conditions opérationnelles. La dégradation des composants est en général inconnue et nécessite un arrêt du système pour être observée. Cependant, cela est difficile, voire impossible, durant l’exploitation du système. Néanmoins, un ensemble de grandeurs observables sur le système ou le composant peut caractériser le niveau de dégradation et faciliter l’estimation de la durée de vie résiduelle du composant et du système. Les MGPD offrent une approche adaptée à la modélisation de l’évolution de l’état de santé des systèmes et des composants. Nous étendons la modélisation classique des modèles de la famille des HMM vers les IOHMM pour permettre une propagation temporelle de l’incertitude afin de résoudre le problème de pronostic de l’état de santé et de l’estimation de la durée de vie résiduelle. Cette recherche comprend l’extension des algorithmes d’apprentissage et d’inférence appliqués aussi bien dans le cas d’un composant que pour un système structuré. Cette thèse a pour but de contribuer à lever les verrous scientifiques suivants : - Considérer l'état de santé du système par un modèle stochastique et apprendre les paramètres du modèle à partir des mesures disponibles sur le système. - Établir un diagnostic de l’état de santé du système et le pronostic de son évolution en intégrant plusieurs conditions opérationnelles. - Estimer la durée de vie résiduelle des composants et des systèmes structurés (série, parallèle) à partir de ses composants. L’enjeu est majeur, car le pronostic de la dégradation des composants du système permet de définir des stratégies soit de pilotage soit de maintenance par rapport à la durée de vie résiduelle du système. Cela permet la réduction de la probabilité d’occurrence d’un arrêt pour cause de dysfonctionnement du système, soit en ajustant la vitesse de dégradation pour s’accorder à un plan de maintenance préventif, soit en planifiant les interventions de maintenance de manière proactive
This thesis contributes to prognosis and health management for assessing health condition of complex systems. In the context of operational management and operational safety of systems, we propose to investigate how Dynamic Probabilistic Graphical Modelling (DPGM) can be used to diagnose the current health state of systems, prognostic the future health state, and the evolution of degradation, as well as estimate its remaining useful life based on its operating conditions. System degradation is generally unknown and requires shutting down the system to be observed. However, this is difficult or even impossible during system operation. Though, a set of observable quantities on a system or component can characterise the level of degradation and help to estimate the remaining useful life of components and systems. The DPGM provides an approach suitable for modelling the evolution of the health state of systems and components. The aim of this thesis is to transpose and capitalize on the experience of these previous works in a prognostic context on the basis of a more efficient DPGM taking into account the available knowledge on the system. We extend the classical HMM family models to the IOHMM to allow the time propagation of uncertainty to address prognostic problems. This research includes the extension of learning and inference algorithms. Variants of the HMM model are proposed to incorporate the operating environment into the prognosis. The aim of this thesis is to contribute to solving the following scientific locks: - Considering the state of health whatever the complexity of the system by a stochastic model and learning the model parameters from the available measurements on the system. - Establish a diagnosis of the state of health of the system and the prognosis of its evolution by integrating several operational conditions. - Estimate the remaining useful life of components and structured systems with series and parallel components. This is a major challenge because the prognosis of the degradation of system components makes it possible to define strategies for either control or maintenance in relation to the residual life of the system. This allows the reduction of the probability of occurrence of a shutdown due to a system malfunction either by adjusting the degradation speed to fit in with a preventive maintenance plan or by proactively planning maintenance interventions
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Barnard, Jakobus Petrus. "Empirical state space modelling with application in online diagnosis of multivariate non-linear dynamic systems." Thesis, Stellenbosch : Stellenbosch University, 1999. http://hdl.handle.net/10019.1/51258.

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Dissertation (Ph.D)--University of Stellenbosch, 1999.
ENGLISH ABSTRACT: System identification has been sufficiently formalized for linear systems, but not for empirical identification of non-linear, multivariate dynamic systems. Therefore this dissertation formalizes and extends non-linear empirical system identification for the broad class of nonlinear multivariate systems that can be parameterized as state space systems. The established, but rather ad hoc methods of time series embedding and nonlinear modeling, using multilayer perceptron network and radial basis function network model structures, are interpreted in context with the established linear system identification framework. First, the methodological framework was formulated for the identification of non-linear state space systems from one-dimensional time series using a surrogate data method. It was clearly demonstrated on an autocatalytic process in a continuously stirred tank reactor, that validation of dynamic models by one-step predictions is insufficient proof of model quality. In addition, the classification of data as either dynamic or random was performed, using the same surrogate data technique. The classification technique proved to be robust in the presence of up to at least 10% measurement and dynamic noise. Next, the formulation of a nearly real-time algorithm for detection and removal of radial outliers in multidimensional data was pursued. A convex hull technique was proposed and demonstrated on random data, as well as real test data recorded from an internal combustion engine. The results showed the convex hull technique to be effective at a computational cost two orders of magnitude lower than the more proficient Rocke and Woodruff technique, used as a benchmark, and incurred low cost (0.9%) in terms of falsely identifying outliers. Following the identification of systems from one-dimensional time series, the methodological framework was expanded to accommodate the identification of nonlinear state space systems from multivariate time series. System parameterization was accomplished by combining individual embeddings of each variable in the multivariate time series, and then separating this combined space into independent components, using independent component analysis. This method of parameterization was successfully applied in the simulation of the abovementioned autocatalytic process. In addition, the parameterization method was implemented in the one-step prediction of atmospheric N02 concentrations, which could become part of an environmental control system for Cape Town. Furthermore, the combination of the embedding strategy and separation by independent component analysis was able to isolate some of the noise components from the embedded data. Finally the foregoing system identification methodology was applied to the online diagnosis of temporal trends in critical system states. The methodology was supplemented by the formulation of a statistical likelihood criterion for simultaneous interpretation of multivariate system states. This technology was successfully applied to the diagnosis of the temporal deterioration of the piston rings in a compression ignition engine under test conditions. The diagnostic results indicated the beginning of significant piston ring wear, which was confirmed by physical inspection of the engine after conclusion of the test. The technology will be further developed and commercialized.
AFRIKAANSE OPSOMMING: Stelselidentifikasie is weI genoegsaam ten opsigte van lineere stelsels geformaliseer, maar nie ten opsigte van die identifikasie van nie-lineere, multiveranderlike stelsels nie. In hierdie tesis word nie-lineere, empiriese stelselidentifikasie gevolglik ten opsigte van die wye klas van nielineere, multiveranderlike stelsels, wat geparameteriseer kan word as toestandveranderlike stelsels, geformaliseer en uitgebrei. Die gevestigde, maar betreklik ad hoc metodes vir tydreeksontvouing en nie-lineere modellering (met behulp van multilaag-perseptron- en radiaalbasisfunksie-modelstrukture) word in konteks met die gevestigde line ere stelselidentifikasieraamwerk vertolk. Eerstens is die metodologiese raamwerk vir die identifikasie van nie-lineere, toestandsveranderlike stelsels uit eendimensionele tydreekse met behulp van In surrogaatdatametode geformuleer. Daar is duidelik by wyse van 'n outokatalitiese proses in 'n deurlopend geroerde tenkreaktor getoon dat die bevestiging van dinamiese modelle deur middel van enkelstapvoorspellings onvoldoende bewys van die kwaliteit van die modelle is. Bykomend is die klassifikasie van tydreekse as 6f dinamies Of willekeurig, met behulp van dieselfde surrogaattegniek gedoen. Die klassifikasietegniek het in die teenwoordigheid van tot minstens 10% meetgeraas en dinamiese geraas robuust vertoon. / Vervolgens is die formulering van In bykans intydse algoritme vir die opspoor en verwydering van radiale uitskieters in multiveranderlike data aangepak. 'n Konvekse hulstegniek is V:oorgestel en op ewekansige data, sowel as op werklike toetsdata wat van 'n binnebrandenjin opgeneem is, gedemonstreer. Volgens die resultate was die konvekse hulstegniek effektief teen 'n rekenkoste twee grootte-ordes kleiner as die meer vermoende Rocke en Woodrufftegniek, wat as meetstandaard beskou is. Die konvekse hulstegniek het ook 'n lae loopkoste (0.9%) betreffende die valse identifisering van uitskieters behaal. Na aanleiding van die identifisering van stelsels uit eendimensionele tydreekse, is die metodologiese raamwerk uitgebiei om die identifikasie van nie-lineere, toestandsveranderlike stelsels uit multiveranderlike data te omvat. Stelselparameterisering is bereik deur individuele ontvouings van elke veranderlike in die multidimensionele tydreeks met die skeiding van die gesamenlike ontvouingsruimte tot onafhanklike komponente saam te span. Sodanige skeiding is deur middel van onafhanklike komponentanalise behaal. Hierdie metode van parameterisering is suksesvc1 op die simulering van bogenoemde outokatalitiese proses toegepas. Die parameteriseringsmetode is bykomend in die enkelstapvoorspelling van atmosferiese N02-konsentrasies ingespan en sal moontlik deel van 'n voorgestelde omgewingsbestuurstelsel vir Kaapstad uitmaak. Die kombinasie van die ontvouingstrategie en skeiding deur onafhanklike komponentanalise was verder ook in staat om van die geraaskomponente in die data uit te lig. Ten slotte is die voorafgaande tegnologie vir stelselidentifikasie op die lopende diagnose van tydsgebonde neigings in kritiese stelseltoestande toegepas. Die metodologie is met die formulering van 'n statistiese waarskynlikheidsmaatstaf vir die gelyktydige vertolking van multiveranderlike stelseltoestande aangevul. Hierdie tegnologie is suksesvol op die diagnose van die tydsgebonde verswakking van die suierringe in 'n kompressieontstekingenj in tydens toetstoestande toegepas. Die diagnostiese resultate het die aanvang van beduidende slytasie in die suierringe aangedui, wat later tydens fisiese inspeksie van die enjin met afloop van die toets, bevestig is. Die tegnologie sal verder ontwikkel en markgereed gemaak word.
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Hashemi, Seyed Reza. "An Intelligent Battery Managment System For Electric And Hybrid Electric Aircraft." University of Akron / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=akron1615732366021405.

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Books on the topic "Online diagnostic system"

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Murphy, Margaret. An online CAL system for teaching infection/diagnosis of bacterial pathogens commonly found in the intestinal tract. [s.l: The Author], 2004.

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An introduction to the Tennessee Valley Authority online diagnostic monitoring system project. [Knoxville, Tenn.?]: Tennessee Valley Authority, Power Business Operations/Research and Development, 1989.

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Daroff, Robert B., Joseph Jankovic, Gerald Fenichel, and Walter G. Bradley. Neurology in Clinical Practice e-dition: Text with Continually Updated Online Reference, 2-Volume Set. 5th ed. Butterworth-Heinemann, 2007.

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Clinical Gastroenterology and Hepatology e-dition: Text with Continually Updated Online Reference. Mosby, 2005.

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Lee, Christine U. C., and James Glockner. Mayo Clinic Body MRI Case Review. Oxford University Press, 2014. http://dx.doi.org/10.1093/med/9780199915705.001.0001.

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Using state-of-the-art MRI images, this online resource illustrates radiological findings in the abdomen and pelvis in a case presentation format. Cases presented include common and uncommon diseases of nearly every organ system of the abdomen and pelvis. Each case succinctly discusses the relevant imaging findings, differential diagnosis, and potential imaging and diagnostic pitfalls. Many cases also include discussion of MRI technique, with illustration of some common artifacts.
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Crash Course (US): Neurology: With STUDENT CONSULT Online Access (Crash Course). Mosby, 2005.

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Neuropathology of Neurodegenerative Diseases Book and Online: A Practical Guide. University of Cambridge ESOL Examinations, 2014.

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Non-Neoplastic Pathology of the Gastrointestinal Tract with Online Resource: A Practical Guide to Biopsy Diagnosis. University of Cambridge ESOL Examinations, 2020.

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Steketee, Gail, and Randy O. Frost. Treatment for Hoarding Disorder. Oxford University Press, 2013. http://dx.doi.org/10.1093/med:psych/9780199334940.001.0001.

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This online Second Edition of Treatment for Hoarding Disorder is the culmination of more than 20 years of research on understanding hoarding and building an effective intervention to address its myriad components. Thoroughly updated and reflective of changes made to the Fifth Edition of the Diagnostic and Statistical Manual for Mental Disorders (DSM-5), this online client workbook outlines an empirically supported and effective CBT program for treating hoarding disorder. It helps to guide clients through their treatment for hoarding disorder with their clinician. It includes homework, forms, exercises, and behavioral experiments to test personal beliefs about possessions, develop an organization plan and filing system, and sort and organize items room by room. A major goal of the treatment is to recapture the positive role of possessions in the lives of people with hoarding problems, and strategies are outlined for sustaining gains and making further progress, as well as for managing stressful life events that can provoke problematic acquiring and difficulty discarding.
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Wilkinson, Michael A. Authoritarian Liberalism and the Transformation of Modern Europe. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198854753.001.0001.

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<Online Only>This book recounts the transformation of Europe from the interwar era until the euro crisis, using the tools of constitutional analysis and critical theory. The central claim is twofold: post-war Europe is reconstituted in a manner combining political authoritarianism and economic liberalism, producing an order which is now in a critical condition. The book begins in the interwar era, when liberalism, unable to deal with mass democracy and the social question, turns to authoritarianism in an attempt to suppress democracy, with disastrous consequences in Weimar and elsewhere. After the Second World War, partly on the basis of a very different diagnosis of interwar collapse, and initially through a passive authoritarianism, inter-state sovereignty is reconfigured, state-society relations are depoliticized, and social relations transformed. Integration is substituted for internationalism, technocracy for democracy, and economic liberty for political freedom and class struggle. This transformation takes time to unfold, and it presents continuities as well as discontinuities. It is deepened by the neo-liberalism of the Maastricht era and the creation of Economic and Monetary Union, and yet countermovements then also emerge: geopolitically, in the return of the German question; and domestically, in the challenges presented by constitutional courts and anti-systemic movements. Struggles over sovereignty, democracy, and political freedom resurface, but are then more actively repressed through the authoritarian liberalism of the euro crisis phase. This leads now to an impasse. Anti-systemic politics return but remain uneasily within the EU, suggesting that the post-war order of authoritarian liberalism is reaching its limits. As yet, however, there has been no definitive rupture.</Online Only>
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Book chapters on the topic "Online diagnostic system"

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Zagorecki, Adam, Piotr Orzechowski, and Katarzyna Hołownia. "Online Diagnostic System Based on Bayesian Networks." In Artificial Intelligence in Medicine, 145–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38326-7_22.

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Kong, Detong, Wei Liu, Zhanli Liu, and Hongwei Wang. "A Remote Online Condition Monitoring and Intelligent Diagnostic System for Wind Turbine." In Intelligent Robotics and Applications, 505–16. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65289-4_48.

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Safi, Asad, and Anabel Martin-Gonzalez. "Online Breast Cancer Diagnosis System." In Intelligent Computing Systems, 108–15. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30447-2_9.

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Panda, Meenakshi, Bhabani S. Gouda, and Trilochan Panigrahi. "Distributed Online Fault Diagnosis in Wireless Sensor Networks." In Lecture Notes in Networks and Systems, 197–221. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9574-1_9.

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Mao, Yiming, Bin Xu, Jifan Yu, Yifan Fang, Jie Yuan, Juanzi Li, and Lei Hou. "Learning Behavior-Aware Cognitive Diagnosis for Online Education Systems." In Communications in Computer and Information Science, 385–98. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5943-0_31.

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O’Keeffe, James, Danesh Tarapore, Alan G. Millard, and Jon Timmis. "Towards Fault Diagnosis in Robot Swarms: An Online Behaviour Characterisation Approach." In Towards Autonomous Robotic Systems, 393–407. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64107-2_31.

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Zhang, Honghui. "A Study on Online Fault Diagnosis Technology for Shield Core Components." In Advances in Intelligent, Interactive Systems and Applications, 533–39. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-02804-6_70.

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Zhang, Peng-Xian, Zhi-Fen Zhang, and Jian-Hong Chen. "Online Diagnosis of Joints Quality in Resistance Spot Welding for Sedan Body." In Advances in Intelligent Systems and Computing, 263–72. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18997-0_22.

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Zhang, Zhaolin, and Yugang Fan. "Online Modeling Method of Fault Diagnosis Based on CNN and OS-ELM." In Advances in Intelligent Systems and Computing, 495–503. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0238-5_50.

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Zhu, Qinghui, and Zhikui Wang. "Software Design of Online Monitoring System of Large Linear Vibrating Screen Fault Diagnosis." In Communications in Computer and Information Science, 293–300. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3415-7_24.

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Conference papers on the topic "Online diagnostic system"

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Pan, Min-Chun, and Po-Ching Li. "Remote online machine fault diagnostic system." In NDE for Health Monitoring and Diagnostics, edited by Tribikram Kundu. SPIE, 2004. http://dx.doi.org/10.1117/12.537722.

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Iqbal, Muhammad Nadeem, Luo Yuan Xin, Waheed Ur Rehman, Allah Rakhio, Shahneel Siddique, Danyal Zahid, Wakeel Yasin, and Ammar Bin Waqar. "Diagnostic tool and remote online diagnostic system for Euro standard vehicles." In 2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference (ITOEC). IEEE, 2017. http://dx.doi.org/10.1109/itoec.2017.8122328.

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Leffler, Jan, Ondrej Rauner, and Pavel Trnka. "Comparison of two different approaches to the design of an online diagnostic system." In 2020 International Conference on Diagnostics in Electrical Engineering (Diagnostika). IEEE, 2020. http://dx.doi.org/10.1109/diagnostika49114.2020.9214610.

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Muangprathub, Jirapond, and Veera Boonjing. "Online Thai medical diagnostic system using case-based reasoning." In 2014 International Computer Science and Engineering Conference (ICSEC). IEEE, 2014. http://dx.doi.org/10.1109/icsec.2014.6978179.

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Faizi, Rdouan, Sanaa El Fkihi, and Abdellatif El Afia. "AN ONLINE DIAGNOSTIC SYSTEM TO ASSESS ENGLISH GRAMMAR SKILLS." In 13th International Technology, Education and Development Conference. IATED, 2019. http://dx.doi.org/10.21125/inted.2019.1878.

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Meher-Homji, Cyrus B. "A Feasibility Study of the Application of Artificial Intelligence Techniques for Turbomachinery Diagnostics." In ASME 1985 International Gas Turbine Conference and Exhibit. American Society of Mechanical Engineers, 1985. http://dx.doi.org/10.1115/85-gt-102.

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This paper presents a study into the application of Artificial Intelligence (AI) techniques (specifically Expert Systems) to the problem of turbomachine diagnostics. The diagnostic process is described and a model for computer implementation provided. Some diagnostic examples are provided to explain the methodology. Expert system development is underway at the author’s corporation for incorporation in online monitoring and diagnostic systems.
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Frederking, T., and R. Gadow. "Novel Concept for Totally Integrated Automation (TIA) Using Siemens Bus System and WinCC Online Control." In ITSC 2000, edited by Christopher C. Berndt. ASM International, 2000. http://dx.doi.org/10.31399/asm.cp.itsc2000p0963.

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Abstract Total quality management requires definite process control as well as online diagnostics, if applied in industrial surface refinement by thermal spraying. A concept for integrated online diagnostics for the high velocity oxygen fuel (HVOF) flame spray process is presented using Siemens S7-300 programmable logic controller and PC-based Siemens WinCC (Windows Control Center) visualization software. The standard functionality of the WinCC programming environment can be extended by C-scripts. The integrated database allows to protocol the relevant process parameters periodically for total quality assurance. Also particle flux imaging software tools can be implemented to adjust online process parameters and for process diagnostic purposes. The Siemens bus system hierarchy thereby provides high speed communication skills for field bus level data exchange and for supervising system components, e.g. CCD-cameras. The interconnection between S7-300 PLC, 6-axis-robot and a novel WinCC software tool enables definite automatic changes of recipes during the coating process to generate functionally graded coatings.
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Jani, Hajar Mat. "Benefiting from online mental status examination system and mental health diagnostic system." In 2010 3rd International Conference on Information Sciences and Interaction Sciences (ICIS). IEEE, 2010. http://dx.doi.org/10.1109/icicis.2010.5534712.

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Yin, Jungang, Runqi Wu, Jian Yang, and Xiangdong Xu. "Online Diagnostic Ultra-Wideband Antenna System in High Voltage Polymeric Insulator." In 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting. IEEE, 2019. http://dx.doi.org/10.1109/apusncursinrsm.2019.8888521.

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Cai, Yujun, and Fang Yuan. "Design of Online Diagnostic System for Physical Parameters of Wind Turbine." In 8th International Conference on Management and Computer Science (ICMCS 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/icmcs-18.2018.53.

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