Fault detection and isolation Applied to ...
Type de document :
Communication dans un congrès avec actes
Titre :
Fault detection and isolation Applied to an Air Supply Subsystem
Auteur(s) :
Yang, Quan [Auteur]
Systèmes Tolérants aux Fautes [STF]
Aitouche, Abdel [Auteur correspondant]
Systèmes Tolérants aux Fautes [STF]
Ould Bouamama, Belkacem [Auteur]
LAGIS-MOCIS
Systèmes Tolérants aux Fautes [STF]
Aitouche, Abdel [Auteur correspondant]
Systèmes Tolérants aux Fautes [STF]
Ould Bouamama, Belkacem [Auteur]
LAGIS-MOCIS
Titre de la manifestation scientifique :
International Conference on Renewable energy, Generation and application, ICREGA'10
Ville :
AL AIN
Pays :
Émirats arabes unis
Date de début de la manifestation scientifique :
2010-03-08
Titre de l’ouvrage :
Proceeding on International Conference on Renewable energy, Generation and application, ICREGA
Date de publication :
2010-03-08
Mot(s)-clé(s) en anglais :
FDI
PEMFC
residuals
air supply system
PEMFC
residuals
air supply system
Discipline(s) HAL :
Sciences de l'ingénieur [physics]/Automatique / Robotique
Résumé en anglais : [en]
This paper focuses on the generation of residuals using nonlinear analytical redundancy relations for sensor and actuator faults detection and isolation of air supply system of fuel cell. The state equation model of the ...
Lire la suite >This paper focuses on the generation of residuals using nonlinear analytical redundancy relations for sensor and actuator faults detection and isolation of air supply system of fuel cell. The state equation model of the air supply system which is based on volumetric air compressor is reduced from 4 orders to 3 orders. Then, analytical residuals are generated by nonlinear analytical redundancy relations with numerical simulation results. Those relations are used to detect and to isolate sensor or actuator faults based on the elimination of the unknown variables of the system. The results show that all faults in specifications can be detectedLire moins >
Lire la suite >This paper focuses on the generation of residuals using nonlinear analytical redundancy relations for sensor and actuator faults detection and isolation of air supply system of fuel cell. The state equation model of the air supply system which is based on volumetric air compressor is reduced from 4 orders to 3 orders. Then, analytical residuals are generated by nonlinear analytical redundancy relations with numerical simulation results. Those relations are used to detect and to isolate sensor or actuator faults based on the elimination of the unknown variables of the system. The results show that all faults in specifications can be detectedLire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
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