Fuel Cell System Diagnosis based on a Causal Structural Model

Rosich, Albert; Nejjari, Fatiha; Sarrate, Ramon

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Fuel Cell System Diagnosis based on a Causal Structural Model

Rosich, Albert; Nejjari, Fatiha; Sarrate, Ramon

2009 • In Fault Detection, Supervision and Safety of Technical Processes

Peer reviewed

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https://hdl.handle.net/10993/4491

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Keywords :

Fault diagnosis; Causal computations; Fuel Cell Systems

Abstract :

[en] In this work, a diagnosis system is developed and applied to a fuel cell stack system. The paper shows the significance of structural models to solve diagnosis issues in large scale systems. The diagnosis system based on residual generation by means of the computation of causal MSO sets (Minimal Structural Overdetermined) is capable of detecting and isolating faults in the fuel cell system.

Disciplines :

Computer science

Identifiers :

UNILU:UL-CONFERENCE-2012-279

Author, co-author :

Rosich, Albert ; Universitat Politècnica de Catalunya > ESAII - SAC

Nejjari, Fatiha; Universitat Politècnica de Catalunya > ESAII - SAC

Sarrate, Ramon; Universitat Politècnica de Catalunya > ESAII - SAC

Language :

English

Title :

Fuel Cell System Diagnosis based on a Causal Structural Model

Publication date :

2009

Event name :

7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Process, Safeprocess’09

Event place :

Barcelona, Spain

Event date :

from 30-06-2009 to 03-07-2009

Audience :

International

Main work title :

Fault Detection, Supervision and Safety of Technical Processes

ISBN/EAN :

978-3-902661-46-3

Pages :

534-539

Peer reviewed :

Peer reviewed

Commentary :

7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Process, Safeprocess’09

Available on ORBilu :

since 30 July 2013

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Bibliography

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