微震信号FIR–小波联合滤波算法及应用

doi:10.13722/j.cnki.jrme.2019.1130

Abstract
Figure/Table
References (0)
Related Citation (15)

Download: PDF (2002 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract The specific frequency interference and background noise are the problems that seriously affect the microseismic monitoring and early warning of rockburst disasters in deep rock engineering. In order to solve these problems，firstly，the advantages of the classical FIR bandstop filter which is good at processing the fixed-frequency noise signal are made use of to denoise the interference. Then，in view of the problem of wavelet threshold denoising method，an unbiased estimation wavelet denoising method is proposed，which solves the problem that the threshold is difficult to be accurately determined when using the wavelet threshold denoising method to filter noise. Next，through organically combining the FIR bandstop filter and unbiased estimate wavelet threshold denoising methods，a FIR-wavelet joint filtering algorithm for microseismic signals is put forward and the FIR-wavelet joint filtering module is developed. The proposed algorithm is verified by the synthesized sinusoidal signal and microseismic signal. The results show that the proposed algorithm has better filtering effect and good robustness under different SNR conditions. The application to the TBM construction of the diversion tunnel of NJ hydropower station in Pakistan under strong environmental noise interference shows that the proposed algorithm improves the accuracy of P-wave picking and the location accuracy of rock fracture signals，provides powerful support for the early warning and prevention of rockburst，and hence has important theoretical and practical significance.

Key words： rock mechanics microseismic signal filtering FIR filter wavelet threshold denoising threshold estimation unbiased estimate

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	ZHU Xinhao1
	2
	CHEN Bingrui1
	2
	LI Tao1
	2
	WEI Fanbo1
	2
	WANG Xu1
	2

Cite this article:

ZHU Xinhao1,2,CHEN Bingrui1, et al. FIR-wavelet joint filtering algorithm for microseismic signals and its application#br#[J]. , 2020, 39(9): 1872-1882.

URL:

https://rockmech.whrsm.ac.cn/EN/10.13722/j.cnki.jrme.2019.1130 OR https://rockmech.whrsm.ac.cn/EN/Y2020/V39/I9/1872

[1]	李庶林. 试论微震监测技术在地下工程中的应用[J]. 地下空间与工程学报，2009，5(1)：122-128.(LI Shulin. Discussion on microseismic monitoring technology and its application to underground project[J]. Chinese Journal of Underground Space and Engineering，2009，5(1)：122-128.(in Chinese))
[2]	陈炳瑞，冯夏庭，曾雄辉，等. 深埋隧洞TBM掘进微震实时监测与特征分析[J]. 岩石力学与工程学报，2011，30(2)：275-283.(CHEN Bingrui，FENG Xiating，ZENG Xionghui，et al. Real-time microseismic monitoring and its characteristic analysis during TBM tunneling in deep-buried tunnel[J]. Chinese Journal of Rock Mechanics and Engineering，2011，30(2)：275-283.(in Chinese))
[3]	陈炳瑞，冯夏庭，明华军，等. 深埋隧洞岩爆孕育规律与机制：时滞型岩爆[J]. 岩石力学与工程学报，2012，31(3)：561-569.(CHEN Bingrui，FENG Xiating，MING Huajun，et al. Evolution law and mechanism of rockburst in deep tunnel：time delayed rockburst[J]. Chinese Journal of Rock Mechanics and Engineering，2012，31(3)：561-569.(in Chinese))
[4]	李庶林，尹贤刚，郑文达，等. 凡口铅锌矿多通道微震监测系统及其应用研究[J]. 岩石力学与工程学报，2005，24(12)：2 048-2 053.(LI Shulin，YIN Xiangang，ZHENG Wenda，et al. Research on multichannel microseismic monitoring system and its application to Fankou lead-zinc mine[J]. Chinese Journal of Rock Mechanics and Engineering，2005，24(12)：2 048-2 053.(in Chinese))
[5]	徐奴文，李韬，戴峰，等. 基于离散元模拟和微震监测的白鹤滩水电站左岸岩质边坡稳定性分析[J]. 岩土力学，2017，38(8)：2 358-2 367.(XU Nuwen，LI Tao，DAI Feng，et al. Stability analysis on the left bank slope of Baihetan hydropower station based on discrete element simulation and microseismic monitoring[J]. Rock and Soil Mechanics，2017，38(8)：2 358-2 367.(in Chinese))
[6]	DONG L J，ZOU W，LI X B，et al. Collaborative localization method using analytical and iterative solutions for microseismic/ acoustic emission sources in the rockmass structure for underground mining[J]. Engineering Fracture Mechanics，2019，210：95-112.
[7]	DONG L J，WESSELOO J，POTVIN Y，et al. Discriminant models of blasts and seismic events in mine seismology[J]. International Journal of Rock Mechanics and Mining Sciences，2016，86：282-291.
[8]	陈双全，李向阳. 应用傅里叶尺度变换提高地震资料分辨率[J]. 石油地球物理勘探，2015，50(2)：213-218.(CHEN Shuangquan，LI Xiangyang. Seismic resolution enhancement based on the scale characteristics of Fourier transform[J]. Oil Geophysical Prospecting，2015，50(2)：213-218.(in Chinese))
[9]	许大为，潘一山，李国臻，等. 基于小波变换的矿山微震信号滤波方法研究[J]. 矿业工程，2007，5(2)：66-68.(XU Dawei，PAN Yishan，LI Guozhen，et al. Research of filtration of mine¢s slight shock signal on the basis of wavelet transform[J]. Mining Engineering，2007，5(2)：66-68.(in Chinese))
[10]	HAN J，VAN DER BAAN M. Microseismic and seismic denoising via ensemble empirical mode decomposition and adaptive thresholding[J]. Geophysics，2015，80(6)：KS69-KS80.
[11]	MORLET J，ARENS G，FOURGEAU I，et al. Wave propagation and sampling theory[J]. Geophysics，1982(47)：203-236.
[12]	程浩，袁月，王恩德，等. 基于小波变换的自适应阈值微震信号去噪研究[J]. 东北大学学报：自然科学版，2018，39(9)：1 332-1 336.(CHENG Hao，YUAN Yue，WANG Ende，et al. Study of hierarchical adaptive threshold micro-seismic signal denoising based on wavelet transform[J]. Journal of Northeastern University：Natural Science，2018，39(9)：1 332-1 336.(in Chinese))
[13]	姜福兴，尹永明，朱权洁，等. 单事件多通道微震波形的特征提取与联合识别研究[J]. 煤炭学报，2014，39(2)：229-237.(JIANG Fuxing，YIN Yongming，ZHU Quanjie，et al. Feature extraction and classification of mining microseismic waveforms viamulti-channels analysis[J]. Journal of China Coal Society，2014，39(2)：229-237.(in Chinese))
[14]	陈炳瑞，吴昊，池秀文，等. 基于STA/LTA岩石破裂微震信号实时识别算法及工程应用[J]. 岩土力学，2019，40(9)：3 698-3 696. (CHEN Bingruil，WU Hao，CHI Xiuwen，et al. Real-time recognition algorithm for microseismic signals of rock failure based on STA/LTA and its engineering application[J]. Rock and Soil Mechanics，2019，40(9)：3 698-3 696.(in Chinese))
[15]	程佩青. 数字信号处理教程[M]. 第四版. 北京：清华大学出版社，2013：475-486.(CHENG Peiqing. Digital signal processing approach[M]. 4th ed. Beijing：Tsinghua University Press，2013：475-486.(in Chinese))
[16]	沈再阳. MATLAB信号处理[M]. 北京：清华大学出版社，2017：214-233.(SHEN Zaiyang. MATLAB signal processing[M]. Beijing：Tsinghua University Press，2017：214-233.(in Chinese))
[17]	胡昌华，李国华，周涛. 基于MATLAB 7.x的系统分析与设计—— 小波分析[M]. 第三版西安：西安电子科技大学出版社，2008：332-340.(HU Changhua，LI Guohua，ZHOU Tao. System analysis and design based on MATLAB 7.x——wavelet analysis[M]. 3rd ed. Xi¢an：Xidian University Press，2008：332-340.(in Chinese))
[18]	姚胜利. 地震信号的小波去噪方法研究[硕士学位论文][D]. 长沙：中南大学，2007.(YAO Shengli. Study on methods of noise removing by wavelet and their applications to seismic data processing[M. S. Thesis][D]. Changsha：Central South University，2007.(in Chinese))
[19]	彭平安，王李管，裴安磊. 微震信号无参数自动去噪PD算法实现及应用[J]. 岩石力学与工程学报，2019，38(增1)：3 061-3 069. (PENG Ping¢an，WANG Liguan，PEI Anlei. Non-parametric automatic microseismic data denoising via PD method and its application[J]. Chinese Journal of Rock Mechanics and Engineering，2019，38(Supp.1)：3 061-3 069.(in Chinese))
[20]	王李管，汪辉，赵君杰. 单分量微地震信号的P波S波到时自动拾取方法[J]. 科技导报，2016，34(2)：184-189.(WANG Liguan，WANG Hui，ZHAO Junjie. An automatic P-and S-wave onset-picking designed for single-component microseismic signals[J]. Science and Technology Review，2016，34(2)：184-189.(in Chinese))
[21]	刘敏，王恩元，刘贞堂，等. 小波降噪在煤岩微震信号处理中的应用[J]. 矿业研究与开发，2011，31(2)：67-70.(LIU Min，WANG Enyuan，LIU Zhentang，et al. Application of wavelet denoising in processing the microseismic signal of coal-rock[J]. Mining Research and Development，2011，31(2)：67-70.(in Chinese))
[22]	TANG S F，TONG M M，HE X M. The optimum wavelet base of wavelet analysis in coal rock microseismic signals[J]. Advances in Mechanical Engineering，2014：537415.
[23]	朱权洁，姜福兴，于正兴，等. 爆破震动与岩石破裂微震信号能量分布特征研究[J]. 岩石力学与工程学报，2012，31(4)：723-730.(ZHU Quanjie，JIANG Fuxing，YU Zhengxing，et al. Study on energy distribution characters about blasting vibration and rock fracture microseismic signal[J]. Chinese Journal of Rock Mechanics and Engineering，2012，31(4)：723-730.(in Chinese))
[24]	MA C S，CHEN W Z，TAN X J，et al. Novel rockburst criterion based on the TBM tunnel construction of the Neelum-Jhelum(NJ) hydroelectric project in Pakistan[J]. Tunnelling and Underground Space Technology，2018，81：391-402.
[25]	LI Q P，CHEN B R. Research on microseismic source location during linear excavation process of deep tunnel[C]// Proceedings of the 3rd ISRM SINOROCK 2013 Symposium. Shanghai：[s. n.]，2013：675-680.
[26]	SHANG X Y，LI X B，MORALES-ESTEBAN A，et al. An improved p-phase arrival picking method S/L-K-A with an application to the Yongshaba Mine in China[J]. Pure and Applied Geophysics. 2018，175(6)：2 121-2 139.