基于形态滤波与灰色关联度的滚动轴承故障诊断

沈路 周晓军 张文斌 张志刚

振动与冲击 ›› 2009, Vol. 28 ›› Issue (11) : 17-20.

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振动与冲击 ›› 2009, Vol. 28 ›› Issue (11) : 17-20.
论文

基于形态滤波与灰色关联度的滚动轴承故障诊断

  • 沈路 周晓军 张文斌 张志刚
作者信息 +

Fault Diagnosis of Rolling Element Bearing Based on Morphological filter and Grey Incidence

  • SHEN Lu, ZHOU Xiao-jun, Zhang Wen-bin, Zhang Zhi-gang
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文章历史 +

摘要

针对滚动轴承故障振动信号的强噪声背景与故障样本不易大量获取的问题,提出一种基于形态滤波与灰色关联度的滚动轴承故障诊断方法。采用形态闭与形态开相减构成的差值滤波器对故障信号进行滤波,不需要考虑振动信号的频谱特征与分布,即能够有效的提取故障频率特征;灰色关联度分析方法对小样本模式识别问题具有良好的分类效果,适用于滚动轴承的故障模式识别。首先对故障信号进行形态滤波,然后提取滤波后信号的故障特征频率的归一化幅值作为特征向量,最后通过待识别样本与标准故障模式的关联度来对故障模式进行分类。实例表明该方法能够取得良好的效果。

Abstract

Considering the strong noise background and lack of sample in fault diagnosis of rolling element bearing, a rolling element bearing fault diagnosis method was proposed based on morphological filter and grey incidence. Fault characteristic could be extracted by morphological difference filter without considering frequency spectrum of vibration signal. The method of grey incidence has good performance in small-sample classification. It could be used in recognition of rolling element bearing fault pattern. Firstly, fault signal was filtered by morphological filter. Secondly, the characteristic frequency unitary amplitude extracted was considered as characteristic vector. Finally, fault pattern was classified by grey incidence between unknown pattern and standard fault pattern. Experiment results show that the method is effective.

关键词

形态滤波 / 灰色关联度 / 差值滤波器 / 滚动轴承 / 故障诊断

Key words

morphological filter / grey incidence / difference filter / rolling element bearing fault diagnosis

引用本文

导出引用
沈路 周晓军 张文斌 张志刚. 基于形态滤波与灰色关联度的滚动轴承故障诊断[J]. 振动与冲击, 2009, 28(11): 17-20
SHEN Lu;ZHOU Xiao-jun;Zhang Wen-bin;Zhang Zhi-gang. Fault Diagnosis of Rolling Element Bearing Based on Morphological filter and Grey Incidence[J]. Journal of Vibration and Shock, 2009, 28(11): 17-20

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