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[1]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,2014,10(2):33-37.[doi:10.11731/j.issn.1673-193x.2014.02.006]
　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,2014,10(2):33-37.[doi:10.11731/j.issn.1673-193x.2014.02.006]
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基于HHT的煤岩破裂微震信号分析
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
10
期数:
2014年2期
页码:
33-37
栏目:
学术论著
出版日期:
2014-02-28

文章信息/Info

Title:
Analysis on microseismic signals of coal and rock fracture based on HHT
作者:
商 鹏1;  雷文杰1;  冷军发2
(1. 河南理工大学 安全科学与工程学院，河南 焦作 454000; 2. 河南理工大学 机械与动力工程学院，河南 焦作 454000)
Author(s):
SHANG Peng 1;  LEI Wen jie 1;  LENG Jun fa 2
(1. Safety Science and Engineering School, Henan Polytechnic University, Jiaozuo Henan 454000, China; 2. Department of Mechanical Engineering , Henan Polytechnic University, Jiaozuo Henan 454000, Chin
关键词:
HHT变换; 煤岩破裂; 微震信号; 希尔伯特谱; 边际能量谱
Keywords:
HilbertHuang Transform;  coal and rock fracture;  microseismic signal;  hilbert spectrum;  marginal energy spectrum
分类号:
X936
DOI:
10.11731/j.issn.1673-193x.2014.02.006
文献标志码:
A
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。
Abstract:
The processing technology of microseismic signals has been an important subject in current research field of microseismic monitoring technology. The ESG microseismic monitoring system was applied to collect the seismic signals of coal & rock fracture by blasting at driving face in coal tunnel. In allusion to the distinct characteristics of short duration and abrupt change 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 spectrum. The accuracy of Hilbert spectrum in application was validated by marginal energy spectrum, It provides an effective way to recognize the mechanism of coal crack fracture and predict dynamic disaster.

参考文献/References:

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备注/Memo

备注/Memo:
国家自然科学基金资助项目（51374094）
更新日期/Last Update: 2014-02-28