辽宁工程技术大学学报（自然科学版）2017，Vol.36Issue(4)：337-342,6.DOI:10.11956/j.issn.1008-0562.2017.04.001
综放垮落煤岩声压信号小波包频带能量特征提取
Coal-rock character recognition based on wavelet packet frequency band energy of acoustic pressure signal in mechanized caving face
摘要
Abstract
In order to explore the process of fully mechanized coal caving mining method for determining coal-rock character recognition,according to differences in physical and mechanical parameters of coal,gangne,roof rock,there will be differences in amplitude,frequency band energy,and frequency for the acoustic pressure signals when the caving collapse impact the end of the beam of hydraulic support.Top coal caving experiments were carried out at underground mine with full-mechanized caving face.A large number of first-hand acoustic pressure signals were obtained under three working conditions (top coal caving,gangue caving,roof rock caving).Wavelet denoising was used to reduce the working noise of scraper conveyor.The signal after noise reduction in three different working conditions was divided by 6 stages wavelet packet,and normalized energy in the 6th stage 64th bands was extracted by frequency band energy analysis method.Then the distribution of energy percentage and statistical index also was analyzed.Through the above-mentioned research,the signal distribution of energy percent of each frequency band and the energy distribution in 0-1 250 Hz,0-2 500 Hz in three working conditions is various,and they are sensitive to the statistical index in different degree.Research results lay the foundation of improvement of automation and intelligent in fully mechanized top coal caving.关键词
综放工作面/煤岩性状识别/声压信号/小波包分解/频带能量/小波降噪Key words
mechanized caving face/coal-rock character recognition/acoustic pressure signal/wavelet packet analysis/frequency band energy/wavelet denoising分类
信息技术与安全科学引用本文复制引用
薛光辉,柳二猛,焦亚博,李一鸣,胡保华..综放垮落煤岩声压信号小波包频带能量特征提取[J].辽宁工程技术大学学报（自然科学版）,2017,36(4):337-342,6.基金项目
国家重点基础研究发展计划(973计划)项目(2014CB046306) （973计划）
中央高校基本科研业务费项目(2009QJ16) （2009QJ16）
