Railway vehicle rolling bearing fault diagnosis method based on the matching pursuit pretreatment

被引：0
|
作者：
Chen N. [1 ,3 ]
Yang S. [2 ]
Pan C. [2 ]
机构：
[1] School of Computing and Informatics, Shijiazhuang Tiedao University, Shijiazhuang
[2] School of Mechanical Engineering, Shijiazhuang Tiedao University, Shijiazhuang
[3] School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing
来源：
Zhendong yu Chongji/Journal of Vibration and Shock | 2017年 / 36卷 / 21期
关键词：
Fault diagnosis; Intermodulation; Matching pursuit; Wheel bearing;
D O I：
10.13465/j.cnki.jvs.2017.21.020
中图分类号：
学科分类号：
摘要：
A bearing fault diagnosis algorithm was proposed based on the matching pursuit pretreatment. The method can avoid the dependence on the bandpass filtering in traditional envelope spectrum methods. The method also can remove the additional interference frequency components from the processing chain of traditional methods, and it can precisely extract the failure frequencies of damaged bearings. Through the experimental verification by using the real signals collected on a running-wheel bench, it is shown the method has some advantages over the traditional method of envelope spectrum, and it can effectively extract the failure features of wheel bearing damages. © 2017, Editorial Office of Journal of Vibration and Shock. All right reserved.
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页码：132 / 137
页数：5
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