EMD and Envelope Spectrum Based Bearing Fault Detection

被引：1

作者：

Li, ZhenTao ^{[1
]}

Li, Hui ^{[1
]}

机构：

[1] Shijiazhuang Inst Railway Technol, Dept Electromech Engn, Shijiazhuang, Peoples R China

来源：

ADVANCED RESEARCH ON INDUSTRY, INFORMATION SYSTEM AND MATERIAL ENGINEERING | 2012年 / 459卷

关键词：

Fault diagnosis; Empirical mode decomposition; Bearing; Envelope spectrum; Signal processing; TEAGER-HUANG TRANSFORM; DIAGNOSIS; WAVELET;

D O I：

10.4028/www.scientific.net/AMR.459.233

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

A novel method to fault diagnosis of bearing based on empirical mode decomposition (EMD) and envelope spectrum is presented. EMD method is self-adaptive to non-stationary and non-linear signal. The methodology developed in this paper decomposes the original vibration signal in intrinsic oscillation modes, using the empirical mode decomposition. Then the envelope spectrum is applied to the selected intrinsic mode function that stands for the bearing faults. The basic principle is firstly introduced in detail. Then the EMD is applied in the research of the fault detection and diagnosis of the bearing. The experimental results show that the proposed method based on EMD and envelope spectrum analysis technique can effectively diagnose the faults of bearing.

引用

页码：233 / 237

页数：5

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