基于固有时间尺度分解算法的微震信号去噪  

Micro-seismic Signal De-noising Based on Intrinsic Time-scale Decomposition Algorithm

作　　者：张瑞红[1] 齐宏伟[1] 林大超[1] 乔兰[2] 

机构地区：[1]华北科技学院土木工程系,河北三河101601 [2]北京科技大学土木与环境工程学院,北京100083

出　　处：《煤矿安全》2012年第3期164-168,共5页Safety in Coal Mines

基　　金：国家科技支撑计划资助项目(2007BAS18B01)

摘　　要：针对微震信号的非平稳宽频带特征,采用环境噪声层相关阈值,基于固有时间尺度分解(ITD),建立了一种高效的去噪算法。与小波变换为基础的去噪对比结果表明,ITD算法去噪彻底,去噪波形与原始波形峰值位置精确一致、到时突变细节保留完整,适用于对初至波到时精确拾取和判断。Aiming at non - stationary broadband characteristics of micro - seismic signals, adopting correlative threshold dependent on the environmental noise variance, an effective de - noising algorithm was established based on intrinsic time - scale decomposition （ITD）. Compared with the de - noised signals based on wavelet transform algorithm, denoising waveforms of ITD algorithm which can completely de -noising preserved precisely peak position with the original signals, and the sudden change detaiol of onset time was reserved exactly, which showed that ITD algorithm may be applied to pick and judge the first arrival of the primary wave accurately.

关 键 词：微震 去噪 ITD 

分 类 号：TD76[矿业工程—矿井通风与安全]