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

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Journal of Vibration and Shock ›› 2021, Vol. 40 ›› Issue (12) : 265-274.

ZHOU Xiaolong1, XU Xinli2, WANG Yao1, LIU Weina3, JIANG Zhenhai4, MA Fenglei4

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Abstract

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.

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variational mode decomposition / maximal overlap discrete wavelet packet transform / de-noising / gear / feature extraction

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ZHOU Xiaolong1, XU Xinli2, WANG Yao1, LIU Weina3, JIANG Zhenhai4, MA Fenglei4. A gear signal de-noising method based on variational mode decomposition and maximal overlap discrete wavelet packet transform[J]. Journal of Vibration and Shock, 2021, 40(12): 265-274

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