基于灰色关联度的形态滤波及滚动轴承故障诊断中应用

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振动与冲击 ›› 2015, Vol. 34 ›› Issue (14) : 51-55.

论文

文成，周传德

作者信息 +

Morphological filter based on grey relational degree and its application in rolling bearing fault diagnosis

WEN Cheng，ZHOU Chuan-de

Author information +

文章历史 +

摘要

针对形态滤波中结构元素尺度难以确定问题，提出利用灰色关联度最大准则选择结构元素尺度进行形态滤波新方法。以不同尺度结构元素对信号进行形态滤波，计算滤波后信号与原信号灰色关联度，借助灰色关联度评价形态滤波质量，以灰色关联度最大原则确定形态滤波所需结构元素尺度，获得特征信息。利用信号仿真分析实施过程，并用于滚动轴承故障诊断。实验结果表明，该方法能有效提取滚动轴承故障特征信息，实现故障诊断。

Abstract

The new method of selecting structural element scale used by the grey relational degree maximum criterion is presented because the structural elements scale in morphology filter is difficult to determine. In this method the signals are done morphological filtering by structural elements of different scales firstly, and then the grey relational degree of the filtering signal and the original signal is calculated, which is used to evaluate the quality of morphology filter, and finally the feature information is achieved based on the morphology filter required structure element scale determined by grey relational degree maximum principle. The implementation process of this method is analyzed by signal simulation, and this method is successfully applied to rolling bearing fault diagnosis. The experimental results show that this method can effectively extract the fault feature information of rolling bearing to realize fault diagnosis.

导出引用

文成，周传德. 基于灰色关联度的形态滤波及滚动轴承故障诊断中应用[J]. 振动与冲击, 2015, 34(14): 51-55

WEN Cheng，ZHOU Chuan-de. Morphological filter based on grey relational degree and its application in rolling bearing fault diagnosis[J]. Journal of Vibration and Shock, 2015, 34(14): 51-55

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