The segment-powered supply system is an important part of linear induction motor.The effective fault diagnosis method is helpful to the normal operation and troubleshooting of the motor.According to the characteristics of the measured three-phase current waveform,a fault diagnosis method of segment-powered supply system combining an algorithm for extracting the amplitude feature sequence and Transformer model is proposed.In addition,the interpretative method of deep learning model was introduced to assist the model to locate anomalies roughly by it-self.The validity and reliability of these methods were verified by the test data of a segment-powered linear induction motor.
关键词
深度学习/Transformer模型/时间序列/故障诊断/分段供电
Key words
Deep learning/Transformer model/Time series/Fault diagnosis/Segment-powered supply
维普
万方数据