第二代小波降噪法在故障诊断中的应用  

Second Generation Wavelet denoising and its Application in Fault Diagnosis

作　　者：荆双喜[1] 李胜华[1] 华伟[1] 

机构地区：[1]河南理工大学机械监测与故障诊断研究所,河南焦作454003

出　　处：《煤矿机电》2007年第2期3-5,共3页Colliery Mechanical & Electrical Technology

摘　　要：介绍了基于插值细分法的第二代小波变换的基本原理和变换过程,给出了小波降噪的阈值选取方法。用仿真信号进行验证,并将该算法应用于矿用通风机振动信号的降噪处理中,提高故障诊断的准确率。The principle and process of the second generation transform based on interpolating subdivision is described, and then the selection of wavelet shrinkage is provided. The scheme is verified by simulative signal, and then is applied to the denoising vibration signal of two mine ventilators. The scheme can improve the SNR, and improve the accuracy of the fault diagnosis.

关 键 词：第二代小波变换 插值细分法 阈值函数 降噪 信噪比 

分 类 号：TU834.41[建筑科学—供热、供燃气、通风及空调工程]