On-line fault diagnostic system for proton exchange membrane fuel cells
Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
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Data(s) |
18/10/2012
18/10/2012
2008
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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 |
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 |