Fault Feature extraction for Rolling Element Bearing Based on Cepstrum Pre-whitening and Morphology Self-complementary Top-Hat Transformation

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Journal of Vibration and Shock ›› 2015, Vol. 34 ›› Issue (15) : 77-81.

DENG Fei-yue, TANG Gui-ji, HE Yu-ling

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Abstract

In order to eliminate interference from discrete frequencies and strong background noises of vibration signal in extracting fault feature of rolling bearing，a new method based on combination of pre-whitening technology using cepstrum editing procedure(CEP) and morphology self-complementary Top-Hat (STH)transformation theory is presented to extract fault feature of rolling bearing. CEP could eliminate periodic frequency components of fault vibration signal, and remain pre-whitening signal which contains only non-stationary impact components from collision damage and background noise, then the filter of morphology self-complementary Top-Hat transformation is constructed, a novel method named fault feature amplitude energy radio (FAER) is presented to adaptive select the most optimal structure element (SE) scale. The processing results of the pre-whitening signal demonstrate the excellent effect on the eliminating the interference of background noise through morphology self-complementary Top-Hat transformation, and the fault feature extracted is very clear. The result shows that the proposed method is effective in extracting periodic impulses and suppressing the noises of vibration signals by analyzing vibration signal of defective rolling bearing with ball and inner race faults.

Key words

rolling bearing / cepstrum editing procedure / signal pre-whitening / self-complementary Top-Hat transformation / feature amplitude energy radio

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DENG Fei-yue, TANG Gui-ji, HE Yu-ling . Fault Feature extraction for Rolling Element Bearing Based on Cepstrum Pre-whitening and Morphology Self-complementary Top-Hat Transformation[J]. Journal of Vibration and Shock, 2015, 34(15): 77-81

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