中国安全生产科学技术
中國安全生產科學技術
중국안전생산과학기술
JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY
2014年
2期
33-37
,共5页
HHT 变换%煤岩破裂%微震信号%希尔伯特谱%边际能量谱
HHT 變換%煤巖破裂%微震信號%希爾伯特譜%邊際能量譜
HHT 변환%매암파렬%미진신호%희이백특보%변제능량보
Hilbert-Huang Transform%coal and rock fracture%micro-seismic signal%hilbert spectrum%marginal energy spectrum
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。
微震信號處理是目前研究微震鑑測技術應用領域中的一箇重要課題,應用 ESG 微震鑑測繫統採集煤巷砲掘過程中產生的煤巖破裂微震信號,針對所採集微震信號具有明顯的持續時間短、突變快等特點,選用希爾伯特黃變換(HHT)對其進行處理。 HHT 包括 EMD 分解和 Hillert 變換兩部分,微震信號經過 EMD 自適應分解得齣9箇 IMF 分量和一箇殘餘分量,對各 IMF 分量進行Hillert 變換做齣 Hillert 譜,從 Hillert 譜中得齣煤巖破裂微震信號頻率響應主要集中在500-800Hz,用邊際能量譜加以驗證得齣 Hillert 譜在應用中的準確性,為進一步認識煤巖破裂的機理和預測煤巖動力災害提供瞭有效的技術途徑。
미진신호처리시목전연구미진감측기술응용영역중적일개중요과제,응용 ESG 미진감측계통채집매항포굴과정중산생적매암파렬미진신호,침대소채집미진신호구유명현적지속시간단、돌변쾌등특점,선용희이백특황변환(HHT)대기진행처리。 HHT 포괄 EMD 분해화 Hillert 변환량부분,미진신호경과 EMD 자괄응분해득출9개 IMF 분량화일개잔여분량,대각 IMF 분량진행Hillert 변환주출 Hillert 보,종 Hillert 보중득출매암파렬미진신호빈솔향응주요집중재500-800Hz,용변제능량보가이험증득출 Hillert 보재응용중적준학성,위진일보인식매암파렬적궤리화예측매암동력재해제공료유효적기술도경。
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 charac-teristics of short duration and abrupt change in signal structure for seismic signals of coal & rock fracture , the appli-cation 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 by marginal energy spectrum , It provides an effective way to recognize the mechanism of coal crack fracture and predict dynamic disaster .