Frequency Loss and Recovery in Rolling Bearing Fault Detection

Abstract

Abstract Rolling element bearings are key components of mechanical equipment. The bearing fault characteristics are affected by the interaction in the vibration signals. The low harmonics of the bearing characteristic frequencies cannot be usually observed in the Fourier spectrum. The frequency loss in the bearing vibration signal is presented through two independent experiments in this paper. The existence of frequency loss phenomenon in the low frequencies, side band frequencies and resonant frequencies and revealed. It is demonstrated that the lost frequencies are actually suppressed by the internal action in the bearing fault signal rather than the external interference. The amplitude and distribution of the spectrum are changed due to the interaction of the bearing fault signal. The interaction mechanism of bearing fault signal is revealed through theoretical and practical analysis. Based on mathematical morphology, a new method is provided to recover the lost frequencies. The multi-resonant response signal of the defective bearing are decomposed into low frequency and high frequency response, and the lost frequencies are recovered by the combination morphological filter (CMF). The effectiveness of the proposed method is validated on simulated and experimental data.

Keywords

• Rolling element bearing
• Signal processing
• Frequency loss
• Fault detection
• Morphological filter