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Fuzzy fault diagnosis system of MCFC

Wang Zhenlei Qian Feng Cao Guangyi

高技术通讯（英文版）2005，Vol.11Issue(1)：72-74,3.

Fuzzy fault diagnosis system of MCFC

Wang Zhenlei ¹Qian Feng ¹Cao Guangyi²

作者信息

1. Institute of Automatic, East China University of Science and Technology, Shanghai 200237, P.R.China
2. Institute of Fuel Cell, Shanghai Jiaotong University, Shanghai 200030, P.R.China
折叠

摘要

Abstract

A kind of fault diagnosis system of molten carbonate fuel cell (MCFC) stack is proposed in this paper. It is composed of a fuzzy neural network (FNN) and a fault diagnosis element. FNN is able to deal with the information of the expert knowledge and the experiment data efficiently. It also has the ability to approximate any smooth system. FNN is used to identify the fault diagnosis model of MCFC stack. The fuzzy fault decision element can diagnose the state of the MCFC generating system, normal or fault, and can decide the type of the fault based on the outputs of FNN model and the MCFC system. Some simulation experiment results are demonstrated in this paper.

关键词

fault diagnosis/molten carbonate fuel cell/fuzzy neural network/fault decision element

Key words

fault diagnosis/molten carbonate fuel cell/fuzzy neural network/fault decision element

分类

信息技术与安全科学

引用本文复制引用

Wang Zhenlei,Qian Feng,Cao Guangyi..Fuzzy fault diagnosis system of MCFC[J].高技术通讯（英文版）,2005,11(1):72-74,3.

基金项目

Supported by the High Technology Research and Development Programme of China (No. 2002AA517020). （No. 2002AA517020）

高技术通讯（英文版）

OAEI

ISSN：1006-6748

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