Research on Interturn Short Circuit Fault Identification Method of PMSM based on Deep Learning

Based on neural network deep learning, the fault diagnosis of permanent magnet synchronous motor was studied.By creating different sample labels for neural network deep learning training, diagnosis of interturn short circuit fault cause;By comparing the accuracy of different neural networks, the deep learning neural network has the highest accuracy in PMSM fault diagnosis.Compared with the traditional motor fault diagnosis method, the deep learning method of genetic neural network can solve the problems of large knowledge base, low fault search efficiency, effectively shorten the fault diagnosis time and maintain the stable operation of the PMSM.