Complementary ensemble adaptive sparsest narrow-band decomposition and its application

被引：0
|
作者：
Chen J. [1 ,2 ]
Peng Y. [1 ,2 ]
Li X. [1 ,2 ]
Han Q. [3 ]
Li H. [1 ,4 ]
机构：
[1] Hunan Provincial Key Laboratory of Mechanical Equipment Health Maintenance, Hunan University of Science and Technology, Xiangtan
[2] Engineering Research Center of the Ministry of Advanced Mine Equipment Education, Hunan University of Science and Technology, Xiangtan
[3] School of Mechanical Engineering, Dalian University of Technology, Dalian
[4] State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai
来源：
Zhendong yu Chongji/Journal of Vibration and Shock | 2019年 / 38卷 / 20期
关键词：
Adaptive sparsest narrow-band decomposition; Complementary ensemble empirical mode decomposition; Fault diagnosis; Local narrow-band signal; Rolling bearing;
D O I：
10.13465/j.cnki.jvs.2019.20.006
中图分类号：
学科分类号：
摘要：
Adaptive sparsest narrow-band decomposition (ASNBD) is the most sparse solution for searching signals in the over-complete dictionary library containing intrinsic mode functions (IMF), which transforms the signal Decomposition into an optimization problem, but the calculation accuracy still needs to be improved in the case of strong noise interference. Therefore, in combination with the algorithm of thecomplementary ensemble empirical mode decomposition (CEEMD), a new method of the complementary ensemble adaptive sparsest narrow-band decomposition (CE-ASNBD) was obtained. In this method, the white noise opposite to the paired symbol is added to the target signal to reduce the reconstruction error and realize the adaptive decomposition of the signal in the process of optimizing the filter parameters. The analysis results of simulation and experimental data show that this method is superior to CEEMD and ASNBD in inhibiting mode confusion, endpoint effect, performance, improving component orthogonality and accuracy, and can be effectively used in fault diagnosis of rolling bearing. © 2019, Editorial Office of Journal of Vibration and Shock. All right reserved.
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页码：31 / 37
页数：6
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