地震学报2012，Vol.34Issue(1)：85-96,12.DOI:10.3969/j.issn.0253-3782.2012.01.008
基于小波变换的大尺度岩体结构微震监测信号去噪方法研究
A study on method of signal denoising based on wavelet transform for micro-seismicity monitoring in large-scale rockmass structures
摘要
Abstract
This paper applied wavelet denoising method to monitoring micro-seismicity in large-scale rockmass structure. The feasibility of using symlet6 in wavelet denoising was validated with MATLAB simulation. Then four types of adaptive threshold rules for wavelet denoising are used to denoise three noisy signals. The result shows that the noise in signals can be filtered effectively with the four threshold rules and the Rigrsure threshold for wavelet denoising ismore effective with the least mean square deviation and highest signal to noise ratio. Based on the multi-channel digital microseism monitoring system in Shizhuyuan mine, this paper applied wavelet denoising method to three different microseismic signals with the result of MATLAB simulation. The results show that the true microseismic signals can be recovered from the noisy signals by removing noise at every wavelet scale, even though noisy signals have low signal to noise ratio or include wide frequency range. The wavelet threshold denoising is suited especially to the denoising of microseismic monitoring signals in large-scale rockmass structures.关键词
小波去噪/大尺度岩体/微震技术/MATLAB仿真Key words
wavelet de-noising/ large-scale rockmass/ microseismic technology/ MATLAB simulation分类
天文与地球科学引用本文复制引用
徐宏斌,李庶林,陈际经..基于小波变换的大尺度岩体结构微震监测信号去噪方法研究[J].地震学报,2012,34(1):85-96,12.基金项目
国家自然科学基金(10572122)资助 （10572122）
