Full vector BEMD method for fault feature extraction of rotating machinery

被引：0
|
作者：
Huang C. [1 ,2 ]
Lei W. [3 ]
Li L. [3 ]
Meng Y. [1 ]
Zhao J. [1 ]
机构：
[1] School of Mechanical and Electrical Vehicle Engineering, Zhengzhou Institute of Technology, Zhengzhou
[2] School of Mechanical Engineering, Zhejiang University, Hangzhou
[3] School of Mechanical Engineering, Zhengzhou University, Zhengzhou
来源：
Zhendong yu Chongji/Journal of Vibration and Shock | 2019年 / 38卷 / 09期
关键词：
Bivariate empirical mode decomposition (BEMD); Fault feature extraction; Full vector spectrum; Rotating machinery;
D O I：
10.13465/j.cnki.jvs.2019.09.013
中图分类号：
学科分类号：
摘要：
A method of full vector bivariate empirical mode decomposition (BEMD) was proposed to more accurately extract fault characteristics of rotating machinery. Firstly, vibration signals at fault position's cross-section of rotating machinery were collected with orthogonally located multi-sensor to form a complex. Then, BEMD method was applied to adaptively decompose the complex into different frequency bands according to rotating speed values' high to low turn to obtain complex intrinsic mode functions (CIMFs). Finally, the full vector spectrum technique was used to fuse characteristic information of CIMFs to acquire information of amplitude-frequency, phase-frequency and precession directions. The test results using the proposed method were compared with those using the full frequency spectrum one. It was shown that the proposed method is effective. © 2019, Editorial Office of Journal of Vibration and Shock. All right reserved.
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页码：94 / 99and132
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