小波变换在滚动轴承故障诊断中的应用  

Application of Wavelet Transform in Fault Diagnosis of Rolling Bearing

作　　者：刘忠祥[1] 邱阿瑞[1] 刘玉伟[1] 

机构地区：[1]清华大学电机工程与应用电子技术系,北京100084

出　　处：《机械工程师》2002年第3期44-46,共3页Mechanical Engineer

摘　　要：采用小波变换能够快速有效地对滚动轴承振动信号进行带通滤波。通过选用多尺度的小波变换,能较好地分离出所要分析的高频固有振动信号,然后对高频振动信号进行包络分析,从包络谱图中提取故障特征频率分量,就能诊断出滚动轴承故障发生在哪个元件上。实验结果表明,这种诊断方法是有效的。Using wavelet transform,the band-pass filter can be done fast and effectively in processing the vibration signal of rolling bearing.The high-frequency inherent vibration signal is separated quite well with multi-scale wavelet transform.Then an envelope analysis is made to the high-frequency vibration signal.The fault of rolling bearing component is diagnosed by extracting fault feature from envelope frequency spectrum figure.The experiment result shows that this diagnosis approach is effective.

关 键 词：滚动轴承 故障诊断 小波变换 

分 类 号：TH133.33[机械工程—机械制造及自动化] O174.22[理学—数学]