Fuzzy fault diagnosis system of MCFC

被引：0

作者：

Wang, Zhenlei ^{[1
]}

Qian, Feng ^{[1
]}

Cao, Guangyi ^{[2
]}

机构：

[1] Inst. of Automat., EastChina Univ. of Sci. and Technol., Shanghai 200237, China

[2] Inst. of Fuel Cell, Shanghai Jiaotong Univ., Shanghai 200030, China

来源：

High Technology Letters | 2005年 / 11卷 / 01期

关键词：

Carbonates - Electrochemistry - Fault tree analysis - Neural networks;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

A kind of fault diagnosis system of molten carbonate fuel cell (MCFC) stack is proposed. 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.

引用

页码：72 / 74

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