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
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