Fault Diagnosis of Asynchronous Motor Based on Envelope Spectrum and Step Frequency Division

A composite fault separation method is proposed to solve the problem of multiple fault frequencies in the current spectrum of asynchronous motors. First using quadratic RMS noise reduction processing method to deal with the original data, using the Hilbert transform for low frequency envelope frequency information, use carpet step frequency division of the high frequency information processing in the form of realization of asynchronous motor coupling fault feature extraction, based on the experimental data of low frequency envelope signal and use carpet frequency division way of high frequency signal processing, the result was verified by the data processing process and methods of variety of failure data validity of judgment and processing.