A gear signal de-noising method based on variational mode decomposition and maximal overlap discrete wavelet packet transform

被引：0

作者：

Zhou X. ^{[1
]}

Xu X. ^{[2
]}

Wang Y. ^{[1
]}

Liu W. ^{[3
]}

Jiang Z. ^{[4
]}

Ma F. ^{[4
]}

机构：

[1] Mechanical Engineering College, Beihua University, Jilin

[2] Department of Automation, Shanghai Jiao Tong University, Shanghai

[3] College of Mechanical and Electric Engineering, Changchun University of Science and Technology, Changchun

[4] School of Mechatronic Engineering, Changchun University of Technology, Changchun

来源：

Zhendong yu Chongji/Journal of Vibration and Shock | 2021年 / 40卷 / 12期

关键词：

De-noising; Feature extraction; Gear; Maximal overlap discrete wavelet packet transform; Variational mode decomposition;

D O I：

10.13465/j.cnki.jvs.2021.12.033

中图分类号：

学科分类号：

摘要：

Aiming at the problem that gear vibration signal is easily affected by noise and it is difficult to extract the fault feature of it, a method for gear vibration signal de-noising based on variational mode decomposition (VMD) and maximal overlap discrete wavelet packet transform (MODWPT) was proposed. Firstly, VMD was used to decompose the gear vibration signal into a number of intrinsic mode functions (IMFs) in different center frequency scales. For this method, the parameter selection that affects the accuracy of VMD decomposition has been deeply studied, and the solution to this problem was given. Then, a joint de-noising algorithm based on the criterion of energy entropy increment and frequency domain cross correlation coefficient was used to eliminate high frequency noise components and false components, in order to improve the de-noising effect and performance index. Finally, the high frequency noise components were decomposed by MODWPT, the high frequency IMF component after de-noising and the IMF components representing the characteristics of the signal itself reconstructed the de-noising signal. This method was applied in fault diagnosis of simulation signal and measured gear breakage fault signal. The results proved the effectiveness and practicality of the proposed method. © 2021, Editorial Office of Journal of Vibration and Shock. All right reserved.

引用

页码：265 / 274and289

共 23 条

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