Title: Application of BP neural network with L-M algorithm in power transformer fault diagnosis
Abstract: Aiming at the problems of slow convergence speed,and easy to fall into local minimum of traditional BP neural network algorithm for transformer fault diagnosis,a new BP neural network based on Levenberg-Marquardt algorithm is proposed and finally applied to transformer fault diagnosis.This new BP algorithm speeds up the network training rate and improves the accuracy of network training by optimizing the search direction of the BP neural network.The computer simulation of examples show that this method can effectively diagnose transformer fault and provides a new way for transformer fault diagnosis.
Publication Year: 2011
Publication Date: 2011-01-01
Language: en
Type: article
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Cited By Count: 12
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