基于信号分析的煤岩分界识别技术研究  

Study on the coal-rock interface identification based on the signal analysis

作　　者：王东[1] 陈延康[2] 

机构地区：[1]武汉科技学院机电学院,湖北武汉430073 [2]山西矿业学院

出　　处：《矿山机械》2010年第5期22-25,共4页Mining & Processing Equipment

摘　　要：采煤机工作时,摇臂弯曲应力和调高油缸压力的变化间接地反映了滚筒不同的工作状态。通过试验,对切割假煤壁和岩石所获取的应力信号进行分析,并利用这些信号研究了煤岩分界识别技术。结果表明,切割煤壁、岩石信号的功率谱和相关函数及均方差回归参数均有明显差异,可以对采煤机切割状态进行识别。As a shearer is running, the changes of bending stress in the rocker and pressure in the heightadjusting cylinder reflect the different working states of the roller indirectly. Through experiments, this paper analyzes the received signals from cutting the unreal coal wall and rock and studies the coal-rock interface identification with these signals. The results show that there are obvious differences in power spectrums from cutting coal wall and rock, relative functions and regression parameters of mean square and these could help to identify the shear＇s cutting states.

关 键 词：煤岩分界 切割状态 信号分析 识别 

分 类 号：TD421.61[矿业工程—矿山机电]