关键词: 滚动轴承, 振动, 故障, 循环平稳, 谱相关分析

Abstract:

Vibration signals of rolling bearing contained deterministic components and random components, both of them reflected the failure information of the bearing. For qualitative diagnosis of bearing faults using random components less vibration signal data was needed,that increased the computational efficiency for cyclostational analysis. It was proposed herein logarithmic contour maps of spectral correlation density was used firstly to reveal the change of weak random components caused by bearing faults, and then to take the  slice at a resonance frequency to extract the fault information. An analysis example with real bearing vibration signals shows that even in condition of lower frequency resolution, spectral correlation density can realize the demodulation of fault information, achieve the purpose of fault feature extraction, and improve the calculation efficiency.

Key words: rolling bearing, vibration, fault, cyclostationarity, spectral correlation analysis