On-line fault diagnostic system for proton exchange membrane fuel cells


Autoria(s): RIASCOS, Luis Alberto M.; SIMOES, Marcelo G.; MIYAGI, Paulo E.
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

18/10/2012

18/10/2012

2008

Resumo

In this paper, a supervisor system, able to diagnose different types of faults during the operation of a proton exchange membrane fuel cell is introduced. The diagnosis is developed by applying Bayesian networks, which qualify and quantify the cause-effect relationship among the variables of the process. The fault diagnosis is based on the on-line monitoring of variables easy to measure in the machine such as voltage, electric current, and temperature. The equipment is a fuel cell system which can operate even when a fault occurs. The fault effects are based on experiments on the fault tolerant fuel cell, which are reproduced in a fuel cell model. A database of fault records is constructed from the fuel cell model, improving the generation time and avoiding permanent damage to the equipment. (C) 2007 Elsevier B.V. All rights reserved.

Identificador

JOURNAL OF POWER SOURCES, v.175, n.1, p.419-429, 2008

0378-7753

http://producao.usp.br/handle/BDPI/18367

10.1016/j.jpowsour.2007.09.010

http://dx.doi.org/10.1016/j.jpowsour.2007.09.010

Idioma(s)

eng

Publicador

ELSEVIER SCIENCE BV

Relação

Journal of Power Sources

Direitos

restrictedAccess

Copyright ELSEVIER SCIENCE BV

Palavras-Chave #Bayesian network #fault diagnosis #fuel cell #BAYESIAN NETWORK #STACKS #MODEL #PERFORMANCE #PEMFCS #STATE #WATER #Electrochemistry #Energy & Fuels
Tipo

article

original article

publishedVersion