Fuel Cell System Diagnosis based on a Causal Structural Model

Reference : Fuel Cell System Diagnosis based on a Causal Structural Model


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/4491

Title :	Fuel Cell System Diagnosis based on a Causal Structural Model
Language :	English
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]
Publication date :	2009
Main document title :	Fault Detection, Supervision and Safety of Technical Processes
Pages :	534-539
Peer reviewed :	Yes
Audience :	International
ISBN :	978-3-902661-46-3
Event name :	7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Process, Safeprocess’09
Event date :	from 30-06-2009 to 03-07-2009
Event place (city) :	Barcelona
Event country :	Spain
Keywords :	[en] 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.
Permalink :	http://hdl.handle.net/10993/4491
Commentary :	7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Process, Safeprocess’09

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