关键词: Gabor滤波器, 网格搜索, 包络稀疏性, 状态监控, 滚动轴承

Abstract:

Aiming to the difficulty in finding the resonant frequency band in condition monitoring of rolling element bearings, a new optimization method and objective function was proposed. The resonant frequency band can be located through this proposed method. Firstly, the parameters of Gabor filter are optimized through the two-step grid search method, in which the envelope sparseness is as objective function. The vibration signal was filtered through the optimal filter and the envelop signal was calculated. The envelop autocorrelation spectrum was adopted to restrain noise and highlight operation condition information. The effectiveness and advantages of the proposed method were proved through the simulation signal and experimental signals. It is shown that the bearing operation condition can be recognized accurately by the proposed method.

Key words: Gabor filter, grid search, envelope sparseness, condition monitoring, rolling element bearings