煤矿冻结立井爆破振动信号时频特征精细化提取  

Fine Extraction of Time-frequency Characteristics for Coal Mine Frozen Vertical Shaft Blasting Vibration Signals

作　　者：付晓强[1] 陈岐范 陈程[1] 陈帅志 左进京 史国利[1] 

机构地区：[1]中国矿业大学(北京)力学与建筑工程学院,北京100083 [2]兖矿集团有限公司,山东邹城273500

出　　处：《煤矿安全》2017年第6期226-229,共4页Safety in Coal Mines

基　　金：国家重点研发计划资助项目(2016YFC0600903);国家自然科学基金青年科学基金资助项目(51404273);地下清洁能源开发"创新引智基地"资助项目(B14006)

摘　　要：通过频率切片小波变换(Frequency Slice Wavelet Transform,FSWT)对采集到的冻结立井爆破振动信号进行了精细化时频特征提取,并利用其逆变换能切割任意频率区间的特点,重构出6个更为细化的子频带信号,得到各子频带占原信号的能量百分比和相关系数。研究结果表明:立井爆破振动信号属于更加高宽频的非平稳随机振动,其能量主要都分布于500 Hz区域内,所占能量为99.02%,随着频率的升高,振速峰值和能量百分比不断降低,信号子频带能量百分比与其相关系数成正相关。Through FSWT （Frequency Slice Wavelet Transfmm）, we carried on fine time-frequency feature extraction for fi＇ozen shaft blasting vibration signal, and using the characteristic that its inverse transformation can cut any fi＇equency range, six reconstructing sub-band signals are refined, and we get all the sub-band energy percentage and the correlation coefficient of the original signals. The results show that： frozen vertical shaft blasting vibration signal belongs to the more high broadband nnnstationaly random vibration, and the energy is mainly distributed below the 500 Hz, energy ratio is 99.02%; peak vibration amplitude and energy ratio decrease with the increase of frequency, sub-band signal energy percentage and its correlation coeffieient has positive correlation relation.

关 键 词：冻结立井 频率切片小波变换 能量分布 相关系数 爆破振动信号 

分 类 号：TD235.1[矿业工程—矿井建设]