安全与环境工程2024，Vol.31Issue(3)：110-119,10.DOI:10.13578/j.cnki.issn.1671-1556.20221471
基于EMD-SVD的矿山微震信号降噪方法及其应用
Denoising method and application of mine microseismic signal based on EMD-SVD
摘要
Abstract
To enhance the accuracy of microseismic monitoring technology in the analysis and processing of microseismic signals,and to fully extract effective information from microseismic signal waveforms,a novel denoising method based on empirical mode decomposition(EMD)and singular value decomposition(SVD)is proposed for the non-stationary and nonlinear characteristics of mine microseismic signals.This method initially obtained the intrinsic mode function(IMF)components of the signal through EMD decomposition,and optimized the IMF components using correlation coefficients,variance contribution rates,and similari-ty.Subsequently,the selected IMF components were used to reconstruct the phase space data of one-dimen-sional microseismic signal time series.After decomposition by SVD,the SVD reconstruction order was es-tablished using the percentage of singular value energy,and the denoised one-dimensional microseismic time series was obtained based on the SVD restoration principle.Taking mine blasting in a mine in Shandong as an example,different denoising methods were applied to three types of typical microseismic signals,and their denoising effects were compared and analyzed.The results show that compared with traditional de-noising methods,the EMD-SVD denoising method improves the average signal-to-noise ratio by 35％and reduces the average mean square error by 50％,effectively eliminating noise components in the microseis-mic signal while preserving its characteristic information.This research is significant for analyzing mine mi-croseismic signals,locating microseismic events,and monitoring dynamic disasters in coal mines.关键词
矿山安全/微震监测技术/微震信号降噪/经验模态分解/奇异值分解Key words
mine safety/microseismic monitoring technique/microseismic signal denoising/empirical mode decomposition/singular value decomposition分类
资源环境引用本文复制引用
朱权洁,隋龙琨,陈学习,欧阳振华,刘晓辉..基于EMD-SVD的矿山微震信号降噪方法及其应用[J].安全与环境工程,2024,31(3):110-119,10.基金项目
河北省自然科学基金项目(E2023508021) （E2023508021）
中央引导地方科技发展资金项目(基础研究项目)(216Z5401G) （基础研究项目）
中央高校基本科研业务费专项资金项目(3142021002) （3142021002）
河北省省级科技计划资助项目(22375401D) （22375401D）
河北省在读研究生创新能力培养资助项目(CXZZSS2023183) （CXZZSS2023183）
