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Residuals Generation based on Nonlinear ...
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Document type :
Communication dans un congrès avec actes
Title :
Residuals Generation based on Nonlinear Analytical Redundancy Applied to Air Supply Sub-System of Fuel Cell.
Author(s) :
Yang, Quan [Auteur]
Systèmes Tolérants aux Fautes [STF]
Aitouche, Abdel [Auteur]
Systèmes Tolérants aux Fautes [STF]
Ould Bouamama, Belkacem [Auteur]
LAGIS-MOCIS
Conference title :
7th Workshop on Advanced Control and Diagnosis,
City :
Zielona
Country :
Pologne
Start date of the conference :
2009-11-19
Book title :
7th Workshop on Advanced Control and Diagnosis,
Publication date :
2009-11-19
English keyword(s) :
Non linear residuals
parity space
air suplly systems
HAL domain(s) :
Sciences de l'ingénieur [physics]/Automatique / Robotique
English abstract : [en]
The 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 ...
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The 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 detected. Keywords: air compressor, fuel cell, parity space, residual generation, nonlinear analytical redundancy, faults signature, fault detection and isolationShow less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
  • Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Source :
Harvested from HAL
Université de Lille

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