Response and time-frequency analysis of microseismicity in laboratory coal and gas outbursts
The experimentalcharacteristics of microseismic activityand typical signalof coal and gas outburstshavebeen carried out in this studybased on Chongqing Universitys large experimental device and ESG microseimic monitoring system.The results showed that the coal and gas outburstsbavesignificant periodical characteristicsand each coal and gas outburststage corresponds to the significant response characteristics of microseismic.According to the experiments and data analysis of microseismic events, the coal and gas outburst process can be divided into four stages: inoculation stage, excitation stage, development stage and residual stage.Relying on the above research, the wavelet packet transform technique has been used to de-noising and feature extraction of microseismic signal based on the transient and non-stationary characteristics of weak vibration signals.By using this method, the features ofeachstageincluding time domain, frequency domain and time-frequency domain has been extracted and quantitatively expressed.This study provides a new method to obtain microseismic response precursor and predict coal and gas outbursts.
Microseismic Coal and gas outbursts Signal analysis and processing Wavelet packet Time-frequency characteristics
Zhu Quaniie Li Shaoquan Xiao Shu Han Zhenli Li Qingsong Heng Xianwei
Guizhou Coal Mine Design & Research Institute, Guiyang 550025, China;Guizhou Mine Safety Scientific Guizhou Coal Mine Design & Research Institute, Guiyang 550025, China;Guizhou Mine Safety Scientific School o f Civil and Environmental Engineering, University of Science and Technology Beijing , Beiji
国际会议
The 34th International Conference on Ground Control in Mining (ICGCM) 2015(34届国际采矿岩层控制会议)
焦作
英文
10-16
2015-10-17（万方平台首次上网日期，不代表论文的发表时间）