Incipient Fault Diagnosis of Asynchronous Motor Based on Stator Current Signal Analysis

Motor is the pillar of industrial development, and the motor diagnosis method based on current signal analysis is gaining popularity due to its non-invasive nature. In order to solve the incipient fault diagnosis problem of induction motor based on current signal, a method based on Frequency-domain Teager Energy Operator(FTEO) and Square Envelope Spectrum(SES) is proposed. To begin, a notch filter is used to remove the supply frequency in the current signal. Second, the instantaneous amplitude and frequency are calculated and the energy operator is calculated in the frequency domain. Finally, the energy operator is processed by Square Envelope Spectrum and then compared with the fault characteristic frequency of each component of induction motor, so as to realize the accurate identification of incipient faults. In order to verify the effectiveness of the proposed method, different degrees of bearing damage and rotor broken bar are injected into the motor towing test rig to obtain the stator current dataset, and the incipient failure detection performance of the proposed method is verified by comparing with that of the unimproved method.