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《Coal Mine Machinery》 2015-07
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Diagnosis of Transformer Fault Based on GA-BP Neural Network

GUO Hong-min;YANG An;Anhui University of Science and Technology;  
The idea will be proposed of the optimization means for the diagnosis of transformer fault with GA-BP neural network system. The GA-BP neural network will be gotten if GA heredity method optimizes BP's initial power parameter. Simultaneously, the GA-BP nerve net can be trained by L-M method so that it can accurately identify the change of air content situation and high effectively deal with the procedure of diagnosis of transformer fault. With the fuzzy method, GA-BP has advantages such as quick computation, accurate judgment etc. It may ensure the electric safe case in many areas,so it's provided with nicer prospect.
【CateGory Index】: TP18;TM407
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【Citations】
Chinese Journal Full-text Database 5 Hits
1 DU Wen-xia,LU Feng,JU Xi-yuan(Hebei Normal University,Shijiazhuang 050031,China);Fault Diagnosis of Power Transformer Based on BP Neural Network[J];Transformer;2007-03
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【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 WU Hong-qi1,LIU Xia1,JIA Hong-bin2,LIU Feng-ling1(1.Dept.Electronics & Elect.Engn.,Baoji Univ.Arts & Sci.,Baoji 721007,Shaanxi,China;2.Baoji Power Supply Bureau,Baoji 721004,Shaanxi,China);Research in ANN of transformer fault diagnosis[J];Journal of Baoji University of Arts and Sciences(Natural Science Edition);2006-02
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【Secondary Citations】
Chinese Journal Full-text Database 10 Hits
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