Asynchronous Motor Fault Diagnosis Based on LM Algorithm of Elman Neural Network
Xijin Guo · Coal Mine Machinery · 2012
It is an important problem of asynchronous motor fault diagnosis in safety production and operation,but this problem is described difficultly by an accurate mathematical model,and neural network can deal with it.Elman network is a dynamic recursion NN.It can adapt in time varying.Its training speed is fast,and precision is high,and identification is powerful.In this paper,an asynchronous motor fault sample was trained by Elman NN and LM algorithm,and training effect was compared with BP NN's,and it showed that Elman NN and LM algorithm were superior.