An incipient fault diagnosis method for rolling bearing based on improved variational mode decomposition and singular value difference spectrum

被引：0

作者：

Tang G. ^{[1
]}

Wang X. ^{[1
]}

机构：

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

来源：

Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis | 2016年 / 36卷 / 04期

关键词：

Improved variational mode decomposition; Incipient fault; Rolling bearing; Singular value difference spectrum;

D O I：

10.16450/j.cnki.issn.1004-6801.2016.04.014

中图分类号：

学科分类号：

摘要：

In the early fault period of rolling bearing, the characteristic signal is weak, and fault identification is very difficult. In order to solve this problem, a diagnostic method based on improved variational mode decomposition and singular value difference spectrum was proposed. The original signal was decomposed into several intrinsic mode function components after being processed by improving the variational mode decomposition method. Then, the best component was selected by the sparsity index of the envelope spectrum. The Hankel matrix was constructed through the best component, and singular value decomposition was operated. After acquiring the singular value difference spectrum, the signal was reconstructed through the maximum catastrophe point, and the fault type of bearing was judged by analyzing the envelope spectrum of the signal. The method was used to analyze simulated and measured signals of the fault bearing based on improved variational mode decomposition and singular value difference spectrum, and the weak characteristic information was extracted successfully. The results show that the proposed method can judge the incipient fault of rolling bearing effectively and have a certain reliability and application value. © 2016, Editorial Department of JVMD. All right reserved.

引用

页码：700 / 707

页数：7

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