Fuzzy fault diagnosis system of MCFC  

作　　者：WangZhenlei QianFeng CaoGuangyi 

机构地区：[1]InstituteofAutomatic,EastChinaUniversityofScienceandTechnology,Shanghai200237,P.R.China [2]InstituteofFuelCell,ShanghaiJiaotongUniversity,Shanghai200030,P.R.China

出　　处：《High Technology Letters》2005年第1期72-74,共3页高技术通讯（英文版）

基　　金：国家高技术研究发展计划(863计划)

摘　　要：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：模糊故障诊断系统 碳酸盐燃料电池 模糊神经网络系统 电化学系统 自动化技术 

分 类 号：TM911.4[电气工程—电力电子与电力传动] TP277[自动化与计算机技术—检测技术与自动化装置]