Condition Monitoring of Rolling Element Bearings Using Optimal Gabor Filters

doi:10.13190/j.jbupt.2016.02.021

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2016, Vol. 39 ›› Issue (2): 103-107.doi: 10.13190/j.jbupt.2016.02.021

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Condition Monitoring of Rolling Element Bearings Using Optimal Gabor Filters

ZHANG Dan¹, SUI Wen-tao², GUO Qian-jian²

1. School of Electricaland Electronic Engineering, Shandong University of Technology, Shandong Zibo 255049, China;
2. School of Mechanical Engineering, Shandong University of Technology, Shandong Zibo 255049, China

Received:2015-09-24 Online:2016-04-28 Published:2016-04-28

Abstract

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

CLC Number:

TP206.3

ZHANG Dan, SUI Wen-tao, GUO Qian-jian. Condition Monitoring of Rolling Element Bearings Using Optimal Gabor Filters[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2016, 39(2): 103-107.

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Condition Monitoring of Rolling Element Bearings Using Optimal Gabor Filters

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