Multi-stage Noise Reduction Method with ESMK for Adaptive Feature Extraction of Rolling Bearings

被引：0
|
作者：
Zhang L. [1 ]
Cai B. [1 ]
Xiong G. [1 ]
Wang C. [1 ,2 ]
Hu J. [3 ]
机构：
[1] School of Mechatronics & Vehicle Engineering, East China Jiaotong University, Nanchang
[2] CRRC Qishuyan Co., Ltd., Changzhou
[3] Institute of Science and Technology, China Railway Nanchang Railway Group Co., Ltd., Nanchang
来源：
Zhongguo Jixie Gongcheng/China Mechanical Engineering | 2021年 / 32卷 / 24期
关键词：
Deconvolution; Envelope spectrum multi-point kurtosis(ESMK); Feature extraction; Particle swarm optimization(PSO); Sparse decomposition;
D O I：
10.3969/j.issn.1004-132X.2021.24.007
中图分类号：
学科分类号：
摘要：
The rolling bearing fault signals contained both of the high quality factor oscillation components and low quality factor periodic transient impact components. The method of multipoint optimal minimum entropy deconvolution adjusted(MOMEDA) was adopted to weaken the influences of interferences such as transmission path firstly, and the weak transient impact components were enhanced initially. Furthermore, the problems of quality factor determination in resonance-based signal sparse decomposition(RSSD) method and the strict periodicity of fault frequency components in the envelope spectrum were considered and the PSO was used to optimize the quality factors based on proposed novel index called envelope spectrum multi-point kurtosis(ESMK). In consequence, a new self-adaptive transient impact extraction method called PSO-RSSD was proposed, which might effectively eliminate the impacts of high amplitude interference and background noises. Bearing simulation and measured signal analysis results show that, compared with minimum entropy deconvolution(MED)-RSSD method, ESMK may effectively measure periodic transient impacts under strong impact interference, and PSO-RSSD may separate adaptively the optimal low quality resonance components, which verifies the effectiveness and superiority of the proposed method. © 2021, China Mechanical Engineering Magazine Office. All right reserved.
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页码：2950 / 2959
页数：9
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