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基于HHT的煤岩破裂微震信号分析
引用本文:商鹏,雷文杰,冷军发.基于HHT的煤岩破裂微震信号分析[J].中国安全生产科学技术,2014(2):33-37.
作者姓名:商鹏  雷文杰  冷军发
作者单位:河南理工大学安全科学与工程学院;河南理工大学机械与动力工程学院
基金项目:国家自然科学基金资助项目(51374094)
摘    要:微震信号处理是目前研究微震监测技术应用领域中的一个重要课题,应用ESG微震监测系统采集煤巷炮掘过程中产生的煤岩破裂微震信号,针对所采集微震信号具有明显的持续时间短、突变快等特点,选用希尔伯特黄变换(HHT)对其进行处理。HHT包括EMD分解和Hillert变换两部分,微震信号经过EMD自适应分解得出9个IMF分量和一个残余分量,对各IMF分量进行Hillert变换做出Hillert谱,从Hillert谱中得出煤岩破裂微震信号频率响应主要集中在500-800Hz,用边际能量谱加以验证得出Hillert谱在应用中的准确性,为进一步认识煤岩破裂的机理和预测煤岩动力灾害提供了有效的技术途径。

关 键 词:HHT变换  煤岩破裂  微震信号  希尔伯特谱  边际能量谱

Analysis on micro-seismic signals of coal and rock fracture based on HHT
SHANG Peng;LEI Wen-jie;LENG Jun-fa.Analysis on micro-seismic signals of coal and rock fracture based on HHT[J].Journal of Safety Science and Technology,2014(2):33-37.
Authors:SHANG Peng;LEI Wen-jie;LENG Jun-fa
Institution:SHANG Peng;LEI Wen-jie;LENG Jun-fa;Safety Science and Engineering School,Henan Polytechnic University;Department of Mechanical Engineering ,Henan Polytechnic University;
Abstract:The processing technology of micro-seismic field of micro-seismic monitoring technology. The ESG seismic signals of coal & rock fracture by b teristics of short duration and abrupt change lasting signals has been an important subject in current research micro-seismic monitoring system was applied to collect the at driving face in coal tunnel. In allusion to the distinct charac- in signal structure for seismic signals of coal & rock fracture, the application of Hilbert-Huang Transform(HHT) in micro-seismic signals processing was proposed. The HHT consisted of EMD decompose and Hilbert Transform, the micro-seismic signals were adaptively decomposed into nine IFMs and a residual functions by EMD, and the Hilbert spectrum was gotten thought performing Hilbert transform to each IMF. It showed that the frequency response of signals are mainly concentrated on 500-800 Hz from Hilbert spec- trum. The accuracy of Hilbert spectrum in application was validated hy marginal energy spectrum, It provides an effective way to recognize the mechanism of coal crack fracture and predict dynamic disaster.
Keywords:Hilbert-Huang Transform  coal and rock fracture  micro-seismic signal  hilbert spectrum  marginal energy spectrum
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