Fault Diagnosis Method of Asynchronous Motor Based on Deep Learning

As the soul of the whole transmission system, asynchronous motor can not complete other work without the normal work of asynchronous motor. Based on this, this paper uses the method of deep learning to diagnose the fault of asynchronous motor, through in-depth study, accurately find the fault location of asynchronous motor and quickly find the fault diagnosis method of asynchronous motor, so as to further improve the service life of asynchronous motor.