Micro-seismic signal denoising algorithm based on CEEMD-SVD and STA/LTA

被引：0

作者：

Shi Y. ^{[1
,2
,3
]}

Qi P. ^{[1
]}

Wang Y. ^{[1
]}

Zhang C. ^{[1
]}

机构：

[1] College of Mechanical and Equipment Engineering, Hebei University of Engineering, Handan

[2] Hebei Coal Ecological Protection Mining Industry Technology Research Institute, Handan

[3] Handan Municipal Key Lab of Intelligent Vehicles, Handan

来源：

Zhendong yu Chongji/Journal of Vibration and Shock | 2023年 / 42卷 / 05期

关键词：

CEEMD; denoising; microseismic signal; STA/LTA; SVD;

D O I：

10.13465/j.cnki.jvs.2023.05.014

中图分类号：

学科分类号：

摘要：

In view of the complex working environment of underground coal mine, the collected microseismic signals contain a large number of noise signals, which seriously affects the pickup, location and inversion of microseismic signals. In this paper, complementary set empirical mode decomposition (CEEMD) combined with singular value decomposition (SVD) and STA/LTA are used to reduce noise. The microseismic signals were decomposed by CEEMD to obtain the inherent modal component (IMF) of the signals. The noise-dominated IMF and signal-dominated IMF were determined according to the correlation coefficient, and the pseudo-components generated by CEEMD were removed by STA/LTA. The denoised signal is obtained by SVD decomposition of noise-dominated IMF and reconstruction of signal-dominated IMF and residual components. The simulation results show that the proposed algorithm can save the computation time under the condition of small residual noise. Compared with empirical mode decomposition (EMD), ensemble empirical mode decomposition (EEMD) and novel adaptive ensemble empirical mode decomposition (NAEEMD) denoising methods, the three evaluation indexes of SNR, energy percentage and standard deviation are calculated quantitatively, and the results show that the proposed method has better denoising effect. © 2023 Chinese Vibration Engineering Society. All rights reserved.

引用

页码：113 / 121

页数：8

共 19 条

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