Rolling Bearing Fault Diagnosis Method Based on Cepstrum Pre-whitening and Hilbert Envelope Demodulation

Abstract

The research and application of on-line detection and fault diagnosis of high-speed railway bearing can effectively ensure the high-speed railway operation safety and save the maintenance cost. In order to extract fault feature of bearing (axle box bearing was studied) efficiently, and eliminate discrete frequencies caused by shock and strong background noise, a new method that based on combination of pre-whitening technology using cepstrum editing procedure (CEP) and Hilbert envelop demodulation was presented. Signal pre-whitening could enhance the impulsiveness of the bearing fault, and isolate the periodic frequencies in complex vibration signal. The prewhitening signal only contained non-stationary impact components and background noise. The frequency spectrum analysis should apply to the signal after Hilbert envelop demodulation, which did not have strong noise interference and could extract the fault feature. The result shows that this method can efficiently extract the fault feature of defective rolling bearing faults.