第二代小波降噪及其在故障诊断系统中的应用  

Second Generation Wavelet Denoising and its Application in Machinery Monitoring and Diagnosis

作　　者：段晨东[1] 何正嘉[1] 

机构地区：[1]西安交通大学机械工程学院

出　　处：《小型微型计算机系统》2004年第7期1341-1343,共3页Journal of Chinese Computer Systems

基　　金：国家自然科学基金资助项目 (5 0 175 0 87)资助 ;国家"十五"科技攻关项目(2 0 0 1BA2 0 413 0 5 )资助;国家高技术研究发展计划专项经费资助项目(2 0 0 1AA413 3 3 0 )资助

摘　　要：第二代小波变换是一种基于提升原理的时域变换方法 ,介绍了基于插值细分法的第二代小波 ,讨论了其降噪原理 ,通过实验研究了不同类型的第二代小波的降噪效果以及消失矩与降噪效果之间的关系 ,为选择降噪小波提供了理论依据 .将该方法应用于滚动轴承和齿轮箱振动信号的降噪处理 。Second generation wavelet transform (SGWT) is a kind of time domain transform method based on lifting scheme. A SGWT algorithm, which employs interpolating subdivision, is described in this paper, and then its principle of denoising is discussed. The denoising effect and the relationship between vanishing moment number and denoising result are investigated by experiment. The conclusion of this research work gives a reference to select wavelet for signal denoising. It is shown that better denoising effect for vibration signals of ball bearing and gearbox are achieved by using the proposed method.

关 键 词：第二代小波变换 插值细分法 消失矩 降噪 

分 类 号：TH133.3[机械工程—机械制造及自动化]