滚动轴承振动信号小波域自适应滤波方法  

Application of Wavelet Analysis-adaptive Filtering in Vibration Signals for Rolling Ball Bearing

作　　者：袁幸[1] 段志善[1] 孙颖宏[1] 张晓钟[1] 

机构地区：[1]西安建筑科技大学振动应用与故障诊断研究所,西安710055

出　　处：《煤矿机械》2008年第2期200-202,共3页Coal Mine Machinery

基　　金：陕西省自然科学基金(2007E204)

摘　　要：针对滚动轴承故障特征的提取问题,提出一种振动信号小波域自适应滤波方法。小波自适应滤波是一种新的非线性滤波方式,可以有效地提取出信号的边缘轮廓及信号的形状特征。计算机仿真证实小波域自适应滤波具有抑制信号噪声、保留信号非线性特征方面的作用。工程实验结果表明,利用小波域自适应滤波可以从滚动轴承振动信号中成功提取隐藏在噪声中的冲击故障特征。To extract fault feature of rolling ball bearing, a novel approach is proposed according to the wavelet analysis - adaptive filtering. As a nonlinear filtering algorithm, wavelet analysis - adaptive filtering is able to identify the feature of fringe and shape of the signal. The effect of noise reduction and nonlinear feature reservation is validated by computer simulation. The result shows that the impact feature, it can not be identified from noisy data directly, and is successful extracted by wavelet analysis - adaptive filtering.

关 键 词：滚动轴承 振动信号 小波域自适应滤波 

分 类 号：TH133.33[机械工程—机械制造及自动化] TP39[自动化与计算机技术—计算机应用技术]