基于声波信号小波包变换的煤矸界面识别研究  

Coal-rock Interface Recognition Based on Wavelet Packet Transform of Acoustic Signal

作　　者：马瑞[1] 王增才[1] 王保平[1] 

机构地区：[1]山东大学机械工程学院．济南250061

出　　处：《煤矿机械》2010年第5期44-46,共3页Coal Mine Machinery

摘　　要：为探索放顶煤开采过程中煤矸放落程度的判定方法,采用小波包理论分析顶煤放落过程中的声波信号。放顶煤开采中随着矸石含量的增加,产生的声波信号也会有所不同,以此为出发点提出了基于声波频谱小波包变换的煤矸界面识别分析方法。通过声波信号频谱的差异,可以确定煤矸放落的临界区域,从而为煤矸识别提供参考依据。In order to investigate the decision analysis the acoustic signal in top coal caving. method for coal rock detection, using wavelet package to Considering the acoustic signal that the spectrum of rock is different from coal, a method for analyzing coal rock detection in top coal caving is proposed based on wavelet packet transform. Through the differences of acoustic signal spectrum, the critical determined in the process of top coal caving. This is worthy reference of solving coal rock recognition in top coal caving.

关 键 词：煤矸识别 小波包 放顶煤开采 声波信号 

分 类 号：TD178[矿业工程—矿山地质测量]