Analysis of Escalator Based on Spectral Kurtosis and Envelope Demodulation Method Diagnosis and Application of Motor Bearing Faults

Based on spectral kurtosis theory and envelope demodulation method, a bandpass filter optimization algorithm is used to diagnose and analyze rolling bearing faults, and it is applied to the fault diagnosis of escalator motor bearings. The spectral kurtosis method is used to process the pre whitened raw data to determine the band range of bandpass filtering, and the envelope demodulation method is used to identify the bearing fault characteristic frequency. According to actual case data, the envelope demodulation method based on spectral kurtosis can effectively extract bearing fault impact signals. The pre whitening method using linear prediction models can further improve the signal to noise ratio of bearing weak fault impact signals. Therefore, this method provides a good analytical approach for fault diagnosis of rolling bearings in rotating machinery.