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Добірка наукової літератури з теми "Analytical redundancy relations"

Автор: Grafiati
Опубліковано: 7 липня 2024
Оновлено: 7 липня 2024

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Зміст

  1. Статті в журналах
  2. Дисертації
  3. Частини книг
  4. Тези доповідей конференцій

Статті в журналах з теми "Analytical redundancy relations":

1

Fang, Sheng-En, and Bao Zhang. "Non-model based structural damage assessment using improved analytical redundancy relations." Journal of Low Frequency Noise, Vibration and Active Control 39, no. 3 (June 22, 2018): 535–44. http://dx.doi.org/10.1177/1461348418783562.

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A damage assessment problem can be stated as a constraint satisfaction problem utilizing the translational and rotational displacements of a structure as measurements. By this means, usual numerical models are no longer required for a damage assessment, which considerably simplifies the solution process. In order to avoid the use of rotational displacements that are difficult to measure in practice, an improved analytical redundancy reduction method has been developed in which rotational displacements are replaced by translational ones. Moreover, some constraint equation positions in the decomposition of a static equilibrium matrix are exchanged according to their association with pre-assumed damaged elements. Then damage is located according to the changes in the relevant constraints of specific elements or substructures. Besides, the deviation increments of improved analytical redundancy reduction can embody the stiffness changes of the damaged elements. The proposed improved analytical redundancy reduction method was validated using both numerical and experimental steel box beams under static loads. The damage assessment results demonstrate the superiority of the improved analytical redundancy reduction method over the constraint satisfaction problem and analytical redundancy reduction methods.
2

Trave-Massuyes, L., T. Escobet, and X. Olive. "Diagnosability Analysis Based on Component-Supported Analytical Redundancy Relations." IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 36, no. 6 (November 2006): 1146–60. http://dx.doi.org/10.1109/tsmca.2006.878984.

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3

Travé-Massuyès, L., T. Escobet, and S. Spanache. "Diagnosability Analysis Based on Component Supported Analytical Redundancy Relations." IFAC Proceedings Volumes 36, no. 5 (June 2003): 819–24. http://dx.doi.org/10.1016/s1474-6670(17)36594-1.

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4

Termeche, Adel, Djamel Benazzouz, Belkacem Ould Bouamama, and Ibrahim Abdallah. "Augmented analytical redundancy relations to improve the fault isolation." Mechatronics 55 (November 2018): 129–40. http://dx.doi.org/10.1016/j.mechatronics.2018.07.008.

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5

Shumsky, Alexey. "Redundancy Relations for Fault Diagnosis in Nonlinear Uncertain Systems." International Journal of Applied Mathematics and Computer Science 17, no. 4 (December 1, 2007): 477–89. http://dx.doi.org/10.2478/v10006-007-0040-1.

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Redundancy Relations for Fault Diagnosis in Nonlinear Uncertain SystemsThe problem of fault detection and isolation in nonlinear uncertain systems is studied within the scope of the analytical redundancy concept. The problem solution involves checking the redundancy relations existing among measured system inputs and outputs. A novel method is proposed for constructing redundancy relations based on system models described by differential equations whose right-hand sides are polynomials. The method involves a nonlinear transformation of the initial system model into a strict feedback form. Algebraic and geometric tools are used for this transformation. The features of the method are made particular for uncertain systems with a linear structure.
6

Belard, Nuno, Yannick Pencolé, and Michel Combacau. "Meta-Diagnosis in FDI: Reasoning About False Analytical Redundancy Relations." IFAC Proceedings Volumes 45, no. 20 (January 2012): 379–84. http://dx.doi.org/10.3182/20120829-3-mx-2028.00240.

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7

Yu, Ming, Chenyu Xiao, Wuhua Jiang, Shuanglong Yang, and Hai Wang. "Fault Diagnosis for Electromechanical System via Extended Analytical Redundancy Relations." IEEE Transactions on Industrial Informatics 14, no. 12 (December 2018): 5233–44. http://dx.doi.org/10.1109/tii.2018.2842255.

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8

Willersrud, Anders, Mogens Blanke, and Lars Imsland. "Incident detection and isolation in drilling using analytical redundancy relations." Control Engineering Practice 41 (August 2015): 1–12. http://dx.doi.org/10.1016/j.conengprac.2015.03.010.

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9

Lunze, Jan. "A method to get analytical redundancy relations for fault diagnosis." IFAC-PapersOnLine 50, no. 1 (July 2017): 1006–12. http://dx.doi.org/10.1016/j.ifacol.2017.08.208.

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10

Shumsky, Alexey. "Robust Analytical Redundancy Relations for Fault Diagnosis In Nonlinear Systems." Asian Journal of Control 4, no. 2 (October 22, 2008): 159–70. http://dx.doi.org/10.1111/j.1934-6093.2002.tb00342.x.

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Дисертації з теми "Analytical redundancy relations":

1

Jha, Mayank Shekhar. "Diagnostic et Pronostic de Systèmes Dynamiques Incertains dans un contexte Bond Graph." Thesis, Ecole centrale de Lille, 2015. http://www.theses.fr/2015ECLI0027/document.

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Cette thèse développe des approches pour le diagnostic et le pronostic de systèmes dynamiques incertains en utilisant la technique de modélisation Bond Graph (BG). Tout d'abord, une représentation par intervalles des incertitudes paramétriques et de mesures est intégrée à un modèle BG-LFT (Linear Fractional Transformation). Une méthode de détection robuste de défaut est développée en utilisant les règles de l'arithmétique d'intervalle pour la génération de seuils robustes et adaptatifs sur les résidus nominaux. La méthode est validée en temps réel sur un système de générateur de vapeur.Deuxièmement, une nouvelle méthodologie de pronostic hybride est développée en utilisant les Relations de Redondance Analytique déduites d'un modèle BG et les Filtres Particulaires. Une estimation de l'état courant du paramètre candidat pour le pronostic est obtenue en termes probabilistes. La prédiction de la durée de vie résiduelle est atteinte en termes probabilistes. Les incertitudes associées aux mesures bruitées, les conditions environnementales, etc. sont gérées efficacement. La méthode est validée en temps réel sur un système mécatronique incertain.Enfin, la méthodologie de pronostic développée est mise en œuvre et validée pour le suivi efficace de la santé d'un sous-système électrochimique d’une pile à combustible à membrane échangeuse de protons (PEMFC) industrielle à l’aide de données de dégradation réelles
This thesis develops the approaches for diagnostics and prognostics of uncertain dynamic systems in Bond Graph (BG) modeling framework. Firstly, properties of Interval Arithmetic (IA) and BG in Linear Fractional Transformation, are integrated for representation of parametric and measurement uncertainties on an uncertain BG model. Robust fault detection methodology is developed by utilizing the rules of IA for the generation of adaptive interval valued thresholds over the nominal residuals. The method is validated in real time on an uncertain and highly complex steam generator system.Secondly, a novel hybrid prognostic methodology is developed using BG derived Analytical Redundancy Relationships and Particle Filtering algorithms. Estimations of the current state of health of a system parameter and the associated hidden parameters are achieved in probabilistic terms. Prediction of the Remaining Useful Life (RUL) of the system parameter is also achieved in probabilistic terms. The associated uncertainties arising out of noisy measurements, environmental conditions etc. are effectively managed to produce a reliable prediction of RUL with suitable confidence bounds. The method is validated in real time on an uncertain mechatronic system.Thirdly, the prognostic methodology is validated and implemented on the electrical electro-chemical subsystem of an industrial Proton Exchange Membrane Fuel Cell. A BG of the latter is utilized which is suited for diagnostics and prognostics. The hybrid prognostic methodology is validated, involving real degradation data sets
2

Compaore, Wendpuire Ousmane. "Aide à la décision pour le diagnostic des défauts pour une maintenance proactive dans un générateur photovoltaïque." Electronic Thesis or Diss., Normandie, 2023. http://www.theses.fr/2023NORMR095.

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La perte de puissance d'un générateur photovoltaïque (GPV) est sans conteste due à l'apparition d'un certain nombre d'anomalies liées à la fabrication, à la production ou à l'environnement, engendrant des défaillances dans son bon fonctionnement. A partir d'un modèle réaliste, assez proche du fonctionnement réel et capable de prendre en compte l'effet d'avalanche d'une jonction PN transmise à l'ensemble du GPV, nous avons montré à suffisance, la perte de performances d'un générateur PV et la nécessité d'avoir une méthode de diagnostic pour l'aide à la maintenance afin de ne pas subir les effets des défauts.Deux méthodes de diagnostic ont été appliquées à ce GPV, l'une portant sur la détection et la localisation des défauts capteurs, et l'autre sur la détection et la localisation des défauts systèmes. Le choix particulier de ces deux techniques de diagnostic, qui ne ciblent pas les mêmes types de défauts, réside dans la nature complexe du modèle du processus industriel soumis à l'étude. Les performances obtenues avec la méthode des relations de redondance analytique (RRA) basée sur le principe de l'espace de parité appliqué au point de fonctionnement maximal, sont très pertinentes. Par la méthode de l'intelligence artificielle (IA) basée sur le principe des réseaux de neurones artificiels (RNA), nous avons expérimenté deux méthodes de classification pour la détection et le diagnostic des défauts systèmes. Si la détectabilité est prouvée avec nos différentes configurations sans possibilité de situer l'origine et la cause dans la première partie de la classification, nous arrivons grâce à un faisceau d'indices à situer l'origine ou la cause grâce à la classification pour le diagnostic.La réalisation de deux prototypes d'acquisition temps réel est faite sur le principe de l'Internet industriel des objets (IIoT). Le premier permet uniquement l'acquisition et la sauvegarde des données sur une carte SD. Le second prototype plus évolué, permet la transmission en temps réel par Wifi à un serveur web et vise la réalisation à long terme d'une plateforme de surveillance en temps réel. Les deux prototypes produisent des données qui sont utilisées pour alimenter les deux méthodes de diagnostic. Les résultats obtenus avec des données réelles sont compatibles avec ceux obtenus en phase de simulation. Les conclusions de ce diagnostic permettront une meilleure efficacité dans les opérations de maintenance proactive
The loss of power of a photovoltaic generator (PVG) is undoubtedly due to the appearance of a certain number of anomalies linked to manufacturing, production or the environment and causing failures in its proper functioning. From a realistic model, quite close to real operation and able to take into account the avalanche effect of a PN junction transmitted to the entire PVG, we have sufficiently shown the loss of performance of a PV generator and the need to have a diagnostic method for maintenance assistance in order not to suffer the effects of faults.Two diagnostic methods were applied to this PVG, one relating to the detection and localization of sensor faults, and the other to the detection and localization of system faults. The particular choice of these two diagnostic techniques, which do not target the same types of faults, lies in the complex nature of the model of the industrial process subjected to study. The performances obtained with the analytical redundancy relations (ARR), method based on the principle of parity space applied to the maximum operating point are very relevant. Using the artificial intelligence (AI), method based on the principle of artificial neural networks (ANN), we experimented with two classification methods for the detection and diagnosis of system faults. If detectability is proven with our different configurations without the possibility of locating the origin and the cause in the first part of the classification, we arrive thanks to a bundle of clues to locate the origin or the cause thanks to the classification for the diagnostic.The production of two real-time acquisition prototypes is based on the principle of the Industrial Internet of Things (IIoT). The first only allows the acquisition and saving of data on an SD card. The second, and more advanced prototype, allows real-time transmission via WiFi to a web server and aims to create a real-time monitoring platform in the long term. Both prototypes produce data that is used to power both diagnostic methods. The results obtained with real data are compatible with those obtained in the simulation phase. The conclusions of this diagnosis will enable greater efficiency in proactive maintenance operations

Частини книг з теми "Analytical redundancy relations":

1

Rajeswari, V., and Dr T. Nithiya. "NONLINEAR QUANTUM ALGEBRAIC TOPOLOGICAL MODEL FOR COMPUTING MINIMUM TRANSITION HOMOLOGIES USING JOINT CLUSTER PAINLEVE NETWORK THEORY." In Futuristic Trends in Contemporary Mathematics & Applications Volume 3 Book 1, 97–103. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bjcm1p1ch9.

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Developing immense in network communication, complex topology is one of main structural problem in Transition homologies. Due to this nonlinear structure creates a redundant network life time foe energy loses due to distance theory of connective nodes in network leads data transmission failures. Existing analytics model estimates the linear substance based distance theory to process the Data Transition Homologies (DTH) indeed of nonlinear structure because of dynamic topology in homotphy to improve the network communication. To resolve this problem, we propose a Nonlinear Quantum Algebraic Topological (NQAT) model for computing the minimum Transition homologies using painleve network theory to improve the homological network structure for network life time improvement. This proposed system forming best joint cluster network path 〖lim┬(t-→∞) 2 (x+y)〗⁡〖(2(n+1(t)))/(α (t))〗 at 'α' variance at x^' time to create network structure. To create joint cluster by estimating immediate consequence of the orthogonally node condition is the recurrence relation between transient node based on response rate. This chose the best energy level supporting node to construct a topology to improve the network lifetime maximization.

Тези доповідей конференцій з теми "Analytical redundancy relations":

1

Mouhssine, Noura, M. Nabil Kabbaj, Mohammed Benbrahim, and Chakib El Bekkali. "Quadrotor fault detection and isolation based on nonlinear analytical redundancy relations." In 2017 14th International Multi-Conference on Systems, Signals & Devices (SSD). IEEE, 2017. http://dx.doi.org/10.1109/ssd.2017.8166990.

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2

Yu, Ming, Danwei Wang, Ming Luo, and Danhong Zhang. "FDI and fault estimation based on differential evolution and analytical redundancy relations." In Vision (ICARCV 2010). IEEE, 2010. http://dx.doi.org/10.1109/icarcv.2010.5707860.

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3

Fijany, Amir, and Farrokh Vatan. "A new efficient method for system structural analysis and generating Analytical Redundancy Relations." In 2009 IEEE Aerospace conference. IEEE, 2009. http://dx.doi.org/10.1109/aero.2009.4839665.

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4

Gupta, Vikas, and Vicenc Puig. "Decentralized fault diagnosis using analytical redundancy relations: Application to a water distribution network." In 2016 European Control Conference (ECC). IEEE, 2016. http://dx.doi.org/10.1109/ecc.2016.7810544.

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5

Zaidi, Abdelaziz, Moncef Tagina, and Belkacem Ould Bouamama. "Reliability data for improvement of decision-making in Analytical Redundancy Relations Bond Graph based diagnosis." In 2010 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). IEEE, 2010. http://dx.doi.org/10.1109/aim.2010.5695771.

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6

Fijany, Amir, and Farrokh Vatan. "A novel method for derivation of Minimal Set of Analytical Redundancy Relations for system diagnosis." In 2010 IEEE Aerospace Conference. IEEE, 2010. http://dx.doi.org/10.1109/aero.2010.5446823.

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7

Mostofi, M., A. H. Shamekhi, and M. Ziabasharhagh. "Developing an Algorithm for SI Engine Diagnosis Using Parity Relations." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-13463.

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Diagnosis is an algorithm for finding and isolating faults in a dynamic system. In 1994, California designated some regulations which were called OBD II. According to these regulations, there is a system installed in an automobile which can analyze the function of the automobile continuously. The decrease of pollution for the expansion of diagnostic system is necessary in the future. To reach the aims of diagnosis, some redundancies are required in the system, either hardware or soft ware. In the hardware redundancy methods, the installation of additional sensors or actuators on the system is required which is costly and takes up a lot of space, whereas in software redundancy methods, this is done with no expense. In this article, one of the software redundancy methods or analytical methods is implied for solving the problem. At first a discussion on literature survey is mentioned, and then a modified mathematical model for SI engine is acquired. The usage of this method and parity space relations, which is a model based method, accomplished the process of diagnosis. Developing a modified SI engine model and diagnosis of MAT sensor which less has been considered besides other components are this article contributions.
8

Tagina, M., J. P. Cassar, G. Dauphin-Tanguy, and M. Staroswiecki. "The Bond Graph Use for the Design and the Improvement of Instrumentation Architecture for System Monitoring." In ASME 1996 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/imece1996-0400.

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Abstract This paper presents two methods for direct generation of analytical redundancy relations from a bond graph model. These relations are then used to detect and isolate faults affecting the studied system, consisting of a horizontal plane robot with two arms. We also show how the bond graph model helps to conceive an instrumentation architecture, giving a satisfactory isolation ability for the monitoring system.
9

Borutzky, W. "Residual Bond Graph Sinks For Numerical Evaluation Of Analytical Redundancy Relations In Model Based Single Fault Detection and Isolation." In 20th Conference on Modelling and Simulation. ECMS, 2006. http://dx.doi.org/10.7148/2006-0166.

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10

Comtet-Varga, G., J. P. Cassar, and M. Staroswiecki. "Analytic redundancy relations for state affine systems." In 1997 European Control Conference (ECC). IEEE, 1997. http://dx.doi.org/10.23919/ecc.1997.7082088.

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