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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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