Title: Application Research on Genetic Algorithm and BP Neural Network in Motor Fault Diagnosis
Abstract: Aiming at the problem that BP neural network algorithm may easily fall into local minimum point and converge slowly,the weight and threshold value of BP neural network are optimized by using genetic algorithm,and the diagnosis performance of BP neural network is improved.Three kinds of working states of a motor are distinguished using the GA-BP network.The results show that the diagnosis performance of GA-BP network is better than that of using individual BP network in both aspects of speed and accuracy of motor fault diagnosis.
Publication Year: 2010
Publication Date: 2010-01-01
Language: en
Type: article
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Cited By Count: 1
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