用局域波法提取特征向量识别煤岩界面  

Application of Feature Vector Extraction Based on Local Wave Approach to Recognition of Coal-rock Interface

作　　者：周甄[1] 任芳[1] 张晓强[1] 王中青[1] 

机构地区：[1]太原理工大学,山西太原030024

出　　处：《煤矿机电》2009年第2期50-51,55,共3页Colliery Mechanical & Electrical Technology

基　　金：山西省自然科学基金资助项目(编号:2008011051);国家"十一五"科技支撑计划资助项目(编号:2007BAB13B01)

摘　　要：局域波分解法是基于信号局部特征的信号分析方法,特别适用于分析非线性非平稳信号,可有效地把复杂的振动信号分解成多个振荡模式(内蕴模式分量),进而在时频平面内描述信号的局部特征。尝试用局域波法分析采煤机的截割状态。The local wave decomposition is an approach based on the local feature. It＇s especially fit for analyzing nonlinear and unsteady signal, it is enabled to decompose the complex vibration signal into a series of intrinsic modes （IMF） effectively and describe the local feature of signal in the frequency-time plan. We tried to use this approach for analyzing the cutting condition of shearer.

关 键 词：振动信号 局域波 特征提取 

分 类 号：TD421.6[矿业工程—矿山机电]