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《Electric Machines and Control》 2005-06
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Fault diagnosis methods of power electronic circuits based on wavelet analysis and network

LI Wei,TAN Yang-hong,PENG Yong-jin(College of Electric & Information Engineering,Hunan Univ.,Changsha 410082,China)  
In this paper,two different four-layer wavelet neural networks,in which the features of signal are extracted as first-layer of network and the S-function in general neural network are replaced by wavelet function, are constructed integrated with wavelet analysis for fault diagnosis of power electronic circuits,and the mathematical model and learning arithmetic are given.In three-phase rectifier circuit,based on wavelet neural networks constructed,the relationship between the output of wavelet neural network and the faults is founded,the fault diagnosis of circuits is achieved,and the diagnosis results by two networks are compared with its by general BP network.The two methods are verified by simulation.
【CateGory Index】: TN707;
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