Variational mode decomposition method and its application on incipient fault diagnosis of rolling bearing

被引：0

作者：

Tang G.-J. ^{[1
]}

Wang X.-L. ^{[1
]}

机构：

[1] School of Energy, Power and Mechanical Engineering, North China Electric Power University, Baoding

来源：

Zhendong Gongcheng Xuebao/Journal of Vibration Engineering | 2016年 / 29卷 / 04期

关键词：

Equivalent filtering property; Fault diagnosis; Incipient fault; Rolling bearing; Variational mode decomposition;

D O I：

10.16385/j.cnki.issn.1004-4523.2016.04.011

中图分类号：

学科分类号：

摘要：

A adaptive signal decomposition method-variational mode decomposition was introduced, and aiming at solving the problem of incipient fault identification of rolling bearing, a diagnosis method based on VMD was proposed in this paper. Firstly, the equivalent filtering property of VMD was investigated via numerical simulation experiment based on fractional Gaussian noise and the division behaviour on frequency domain of wavelet packet-like was verified. Then the influence of the penalty factor and the number of component on the filtering property of VMD was researched. In order to reduce the drawback of subjectively selecting the influencing parameters in the process of bearing fault detecting, a strategy to automatically searching for the influencing parameters based on feature factor of envelope spectrum was proposed. Finally, the proposed method was verified through simulated signal and experimental signal. The results showed that this method could extract the weak feature information effectively and achieve accurate judgement of fault type. © 2016, Nanjing Univ. of Aeronautics an Astronautics. All right reserved.

引用

页码：638 / 648

页数：10

共 17 条

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