Title :

Survey and Analysis of Diagnostic of Fuel Cell Stack Systems Survey and Analysis of Diagnostic of Fuel Cell Stack Systems

Author(s) :

Aitouche, Abdel [Auteur]
Laboratoire d'Automatique, Génie Informatique et Signal [LAGIS]
Olteanu, Severus [Auteur]
Ould Bouamama, Belkacem [Auteur]
LAGIS-MOCIS

Scientific editor(s) :

IFAC PapersOnline

Conference title :

Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS 2012

City :

Mexico City

Country :

Mexique

Start date of the conference :

2012-08-29

Book title :

Fault Detection, Supervision and Safety of Technical Processes,

Publication date :

2012-08-31

English keyword(s) :

FDI
nonlinear systems
fuel cells
review

HAL domain(s) :

Sciences de l'ingénieur [physics]/Automatique / Robotique

English abstract : [en]

Fuel cells are electrochemical energy conversion devices that convert hydrogen and oxygen into water, producing electricity and heat in the process. Fuel cell is one of the best alternatives of fossil energy. Recently, the ...
Show more >Fuel cells are electrochemical energy conversion devices that convert hydrogen and oxygen into water, producing electricity and heat in the process. Fuel cell is one of the best alternatives of fossil energy. Recently, the research community of fuel cell has shown a considerable interest for diagnosis in view to ensure safety, security, and availability when faults occur in the process. These faults must be detected early and some time estimated and accommodated. Therefore, they are vulnerable to faults that can cause the stop or the permanent damage of the fuel cell. To guarantee the safe operation of the fuel cell systems, it is necessary to use systematic techniques to detect and isolate faults. The present paper presents a survey and analysis of different techniques used for diagnostic of Fuel Cell Stack System. Keywords: Fuel Cell, Fuel Cell Stack Systems, Fault Detection, Diagnosis, FDI, FDD.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