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Signed Bond Graph for health monitoring ...
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Document type :
Communication dans un congrès avec actes
Title :
Signed Bond Graph for health monitoring of PEM fuel cell
Author(s) :
Chatti, Nizar [Auteur]
LAGIS-MOCIS
Ould Bouamama, Belkacem [Auteur]
LAGIS-MOCIS
Gehin, Anne-Lise [Auteur] refId
Systèmes Tolérants aux Fautes [STF]
MERZOUKI, ROCHDI [Auteur] refId
LAGIS-MOCIS
Conference title :
5th International Conference of Development of Fuel Cells
City :
Karlsruhe
Country :
Allemagne
Start date of the conference :
2013-04-16
Book title :
Proceedings of the 5th International Conference of Development of Fuel Cells
Publication date :
2013-04-16
HAL domain(s) :
Sciences de l'ingénieur [physics]/Automatique / Robotique
English abstract : [en]
To guarantee the safe operation of the Fuel Cell (FC) systems, it is necessary to use systematic techniques to detect and isolate faults for diagnosis purposes. The problematic for Fault Detection and Isolation (FDI) ...
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To guarantee the safe operation of the Fuel Cell (FC) systems, it is necessary to use systematic techniques to detect and isolate faults for diagnosis purposes. The problematic for Fault Detection and Isolation (FDI) model-based of fuel cell consists in that such system is bad instrumented, its model is complex (because of coupling of multi-physical phenomena such as electrochemical, electrical, thermo fluidic...) and the numerical values related to it are not always known. This is why qualitative model (based on existence or not of the links between variables and the relations) is well suited for fuel cell diagnosis. In this paper, we propose a new graphical model (named Signed Bond Graph) allowing to combine both qualitative and quantitative features for health monitoring (in terms of diagnosis and prognosis) of the fuel cell. The innovative interest of the presented paper is the use of only one representation for not only structural model but also diagnosis of faults which may affect the fuel cell. The developed theory is illustrated by an application to a Proton Exchange Membrane Fuel Cell (PEMFC).Show 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
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