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

SHI Yannan1,2,3, QI Penglei1, WANG Yu1, WANG Yiying1,2, ZHANG Chongchong1

Journal of Vibration and Shock ›› 2023, Vol. 42 ›› Issue (5) : 113-121.

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Journal of Vibration and Shock ›› 2023, Vol. 42 ›› Issue (5) : 113-121.

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

  • SHI Yannan1,2,3, QI Penglei1, WANG Yu1, WANG Yiying1,2, ZHANG Chongchong1
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Abstract

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.

Key words

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

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SHI Yannan1,2,3, QI Penglei1, WANG Yu1, WANG Yiying1,2, ZHANG Chongchong1. Micro-seismic signal denoising algorithm based on CEEMD-SVD and STA/LTA[J]. Journal of Vibration and Shock, 2023, 42(5): 113-121

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