| 基于余弦调频小波变换的滚动轴承故障研究 |
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| 引用本文： | 江涌.基于余弦调频小波变换的滚动轴承故障研究[J].机械设计与制造,2005(6):164-165. |
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| 作者姓名： | 江涌 |
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| 作者单位： | 西南科技大学制造学院,绵阳,621000 |
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| 摘 要： | 针对滚动轴承故障振动信号的特点，构造余玄调频小波，采用连续小波变换的方法来提取滚动轴承故障振动信号的特征，在此基础上提出了一种滚动轴承故障诊断方法：时间一小波能量谱自相关分析法。通过对滚动轴承具有缺陷的情况下振动信号的分析，说明时间一小波能量谱自相关分析法不仅能检测到滚动轴承故障的存在，而且能有效地识别滚动轴承的故障模式。
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| 关 键 词： | 滚动轴承 余弦调频小波 小波能量谱 自相关分析 |
| 文章编号： | 1001-3997(2005)06-0164-02 |
| 修稿时间： | 2004年11月28 |
Research on roller bearing fault diagnosis using frequency modulation cosine wavelet analysis |
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| Jing Yong.Research on roller bearing fault diagnosis using frequency modulation cosine wavelet analysis[J].Machinery Design & Manufacture,2005(6):164-165. |
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| Authors: | Jing Yong |
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| Abstract: | A new way is offered for roller bearing fault diagnosis. Aiming at the vibration signal characteristics of roller bearing with fault, The frequency modulation cosine wavelet is constructed to extract the vibration signal characteristic of roller bearing with fault by using continuous wavelet transform. A method named auto - correlation analysis of time - wavelet power spectrum is proposed. By analyzing vibration signal of roller bearing fault, it is confirmed that the faults in roller bearing can be detected. |
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| Keywords: | Rolling bearing Frequency modulation cosine wavelet Wavelet power spectrum Auto - correlation |
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