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《Power Equipment》 2008-06
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Application of RBF Neural Network to Fault Diagnosis of Condensers

SONG Hong-ru,DING Chang-fu,FENG Yu-chao(School of Energy and Power Engineering,North China University of Electric Power,Baoding 071003,China)  
Due to tardy convergence of BP neural network in calculating process,a new method of using RBF neural network to condenser fault diagnosis is being proposed.The structure of RBF neural network and possible condenser faults are described,while corresponding built-up way of symptom sets presented.Comparison between RBF and BP diagnosis results proves the former method to be better than the latter one in on-line diagnosing speed and precision,which is therefore suitable for condenser fault diagnosis.
【CateGory Index】: TP183;TM621
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