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Monitoring Transformer Chromatography with BPNN Faults Diagnosis Method

Wang Caisheng, Sun Caixin, Liao Ruijin (Department of Electrical Engineering,Chongqing University, Chongqing,630044,P.R.China)  
In this paper,that back propagation neural network (BPNN) is applied in transformer fault diagnosis is discussed.The teaching set of the BPNN has been set up with using chromatography records from many substations.Two types of inputting vector for this BPNN are presented and the training bas been made respectively.The results of verification show that the BPNN diagnosis method has a bright application prospect.
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