基于小波的矿井主要通风机振动信号噪声消除算法  

Algorithm of Noise Elimination of Vibration Signal of Mine Main Fans Based on Wavelet

作　　者：曾祥鸿[1] 刘娟[1] 王耀才[2] 谷守禄 

机构地区：[1]煤炭科学研究总院重庆分院,重庆400037 [2]中国矿业大学,江苏徐州221008

出　　处：《矿业安全与环保》2000年第5期6-8,共3页Mining Safety & Environmental Protection

摘　　要：介绍了小波变换与信号奇异性的关系、判断信号奇异性的“模极大值检测”法则；利用信号和噪声在小波变换尺度上的不同表现，结合矿井主要通风机振动信号的特点，给出了矿井主要通风机振动信号的噪声消除算法，并进行了实例分析。The paper describes the relation between wavelet variation and signal strangerness and the detection rule of modular maximum value for discriminating signal strangerness, gives the calculation method of noise elimination of vibration signal of mine main fans on the basis of difference of wavelet variation and the characteristics of vibration signal of mine main fans.

关 键 词：小波变换 通风机 振动信号 噪声消除算法 

分 类 号：TD635[矿业工程—矿山机电]