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

被引：0

作者：

Wen, Cheng ^{[1
]}

Zhou, Chuan-De ^{[1
]}

机构：

[1] College of Mechanical and Power Engineering, Chongqing University of Science and Technology, Chongqing

来源：

Zhendong yu Chongji/Journal of Vibration and Shock | 2015年 / 34卷 / 14期

关键词：

Fault diagnosis; Grey relational degree; Morphological filter; Rolling bearing; Structural element;

D O I：

10.13465/j.cnki.jvs.2015.14.010

中图分类号：

学科分类号：

摘要：

A new method for selecting the structural element scale in morphological filter by using the maximum grey relational degree criterion was presented. In the method, the morphological filtering of signals was made by virtue of adopting several structural elements of different scales, the grey relational degrees of the filtered signals and the original signal were calculated to evaluate the quality of morphological filtering, and then the feature information was achieved according to the most appropriate structural element scale determined by the maximum grey relational degree principle. The implementation process of the method was analyzed by means of signal simulations, and the method was successfully applied to rolling bearing fault diagnosis. The experimental results show that the method can effectively extract the fault feature information of rolling bearing in fault diagnosis. ©, 2015, Chinese Vibration Engineering Society. All right reserved.

引用

页码：51 / 55

页数：4

共 14 条

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