Performance enhancement of ensemble empirical mode decomposition

被引：238

作者：

Zhang, Jian ^{[2
]}

Yan, Ruqiang ^{[1
]}

Gao, Robert X. ^{[2
]}

Feng, Zhihua ^{[3
]}

机构：

[1] Southeast Univ, Sch Instrument Sci & Engn, Nanjing 210096, Jiangsu, Peoples R China

[2] Univ Connecticut, Dept Mech Engn, Storrs, CT 06269 USA

[3] Univ Sci & Technol China, Dept Precis Machinery & Precis Instrumentat, Hefei 230027, Anhui, Peoples R China

来源：

MECHANICAL SYSTEMS AND SIGNAL PROCESSING | 2010年 / 24卷 / 07期

基金：

美国国家科学基金会;

关键词：

Ensemble empirical mode decomposition; Mode mixing; Band-limited noise; Vibration signal decomposition; TRANSFORM; EMD;

D O I：

10.1016/j.ymssp.2010.03.003

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Ensemble empirical mode decomposition (EEMD) is a newly developed method aimed at eliminating mode mixing present in the original empirical mode decomposition (EMD). To evaluate the performance of this new method, this paper investigates the effect of two parameters pertinent to EEMD: the amplitude of added white noise and the number of ensemble trials. A test signal with mode mixing that mimics realistic bearing vibration signals measured on a bearing test bed was developed to enable quantitative evaluation of the EEMD and provide guidance on how to choose the two parameters appropriately for bearing signal decomposition. Subsequently, a modified EEMD (MEEMD) method is proposed to reduce the computational cost of the original EEMD method as well as improving its performance. Numerical evaluation and systematic study using vibration data measured on an experimental bearing test bed verified the effectiveness and computational efficiency of the proposed MEEMD method for bearing defect diagnosis. (C) 2010 Elsevier Ltd. All rights reserved.

引用

页码：2104 / 2123

页数：20

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