基于倒谱预白化和形态学自互补Top-Hat变换的滚动轴承故障特征提取

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振动与冲击 ›› 2015, Vol. 34 ›› Issue (15) : 77-81.

论文

邓飞跃，唐贵基，何玉灵

作者信息 +

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

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

Author information +

文章历史 +

摘要

为了消除振动信号中离散频率分量和强背景噪声对提取滚动轴承故障特征频率的干扰，本文提出了一种新的基于倒谱编辑(Cepstrum editing procedure, CEP)预白化和形态学自互补Top-Hat变换的方法用于滚动轴承的故障特征提取。CEP能够去除故障振动信号中的周期性频率成分，剩余只包含背景噪声和碰撞损伤引起的非平稳冲击成分的白化信号，通过分析构造的形态学自互补Top-Hat变换滤波器，提出采用故障特征幅值能量比（Feature amplitude energy radio，FAER）的方法自适应确定最优结构元素的尺度，预白化信号经过形态学滤波有效消除了背景噪声的干扰，提取了较为清晰的轴承故障特征频率。文章对实测轴承滚动体、内圈故障信号进行了分析，结果表明该方法可有效提取滚动轴承故障冲击成分并抑制噪声。

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.

导出引用

邓飞跃，唐贵基，何玉灵. 基于倒谱预白化和形态学自互补Top-Hat变换的滚动轴承故障特征提取[J]. 振动与冲击, 2015, 34(15): 77-81

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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