典型文献
Microseismic signal denoising by combining variational mode decomposition with permutation entropy
文献摘要：
Remarkable progress has been achieved on microseismic signal denoising in recent years,which is the basic component for rock-burst detection.However,its denoising effectiveness remains unsatisfactory.To extract the effective microseismic signal from polluted noisy signals,a novel microseismic signal denoising method that combines the variational mode decomposition(VMD)and permutation entropy(PE),which we denote as VMD-PE,is proposed in this paper.VMD is a recently introduced technique for adaptive signal decomposition,where K is an important decomposing parameter that determines the number of modes.VMD provides a predictable effect on the nature of detected modes.In this work,we present a method that addresses the problem of selecting an appropriate K value by constructing a simulation signal whose spectrum is similar to that of a mine microseismic signal and apply this value to the VMD-PE method.In addition,PE is developed to identify the relevant effective microseismic signal modes,which are reconstructed to realize signal filtering.The experimental results show that the VMD-PE method remarkably outperforms the empirical mode decomposition(EMD)-VMD filtering and detrended fluctuation analysis(DFA)-VMD denoising methods of the simulated and real microseismic signals.We expect that this novel method can inspire and help evaluate new ideas in this field.
文献关键词：
中图分类号：
作者姓名：
Zhang Xing-Li;Cao Lian-Yue;Chen Yan;Jia Rui-Sheng;Lu Xin-Ming
作者机构：
College of Computer Science and Engineering,Shandong University of Science and Technology,Qingdao 266590,China;Shandong Province Key Laboratory of Wisdom Mine Information Technology,Shandong University of Science and Technology,Qingdao 266590,China
文献出处：
引用格式：
[1]Zhang Xing-Li;Cao Lian-Yue;Chen Yan;Jia Rui-Sheng;Lu Xin-Ming-.Microseismic signal denoising by combining variational mode decomposition with permutation entropy)[J].应用地球物理（英文版）,2022(01):65-80
A类：
Microseismic
B类：
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AB值：
0.520592
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