| 小波变换在滚动轴承故障诊断中的应用 |
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| 引用本文： | 刘忠祥,邱阿瑞,刘玉伟.小波变换在滚动轴承故障诊断中的应用[J].机械工程师,2002(3). |
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| 作者姓名： | 刘忠祥 邱阿瑞 刘玉伟 |
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| 作者单位： | 清华大学电机工程与应用电子技术系 北京100084
(刘忠祥，邱阿瑞)，清华大学电机工程与应用电子技术系 北京100084(刘玉伟) |
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| 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。
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| 关 键 词： | 滚动轴承 故障诊断 小波变换 |
Application of Wavelet Transform in Fault Diagnosis of Rolling Bearing |
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| LIU Zhong-xiang,QIU A-rui,LIU Yu-wei.Application of Wavelet Transform in Fault Diagnosis of Rolling Bearing[J].Mechanical Engineer,2002(3). |
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| Authors: | LIU Zhong-xiang QIU A-rui LIU Yu-wei |
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| Abstract: | 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. |
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| Keywords: | rolling bearing fault diagnosis wavelet transform |
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