| 基于复小波和奇异值比谱的轴承故障检测方法 |
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| 引用本文： | 侯者非,杨杰,张雪.基于复小波和奇异值比谱的轴承故障检测方法[J].武汉理工大学学报,2011(1). |
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| 作者姓名： | 侯者非 杨杰 张雪 |
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| 作者单位： | 武汉理工大学信息工程学院;空军大连通信士官学校; |
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| 基金项目： | 湖北省科技攻关项目(2007lg0092) |
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| 摘 要： | 提出一种基于包络分析和奇异值比谱的滚动轴承振动故障监测和诊断方法。首先利用具有解析带通特性的复Morlet小波来获得信号的包络,然后采用扫频方式检测奇异值比谱最大峰值自动提取、增强、重构包络信号中的主周期分量,提取到轴承故障特征。该方法已成功地应用到了对滚动轴承故障检测实验,验证了该方法的有效性、可行性。
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| 关 键 词： | 滚动轴承 Morlet小波 奇异值分解 奇异值比谱 |
Rolling Bearing Fault Detection Based on Complex Wavelet Transform and Singlar Value Ratio Spectrum |
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| HOU Zhe-fei,YANG Jie,ZHANG Xue.Rolling Bearing Fault Detection Based on Complex Wavelet Transform and Singlar Value Ratio Spectrum[J].Journal of Wuhan University of Technology,2011(1). |
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| Authors: | HOU Zhe-fei YANG Jie ZHANG Xue |
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| Affiliation: | HOU Zhe-fei1,2,YANG Jie1,ZHANG Xue2(1.School of Information Engineering,Wuhan University of Technology,Wuhan 430063,China,2.Air Force Dalian Communication Sergeant Academy,Dalian 116600,China) |
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| Abstract: | A novel signal processing algorithm was proposed here for vibration signal analysis in condition monitoring and health diagnosis of rolling bearings.Such technique required an envelope being extracted from the vibration signal with complex Morlet wavelet transform(MWT).The principal periodic component in the envelope was subsequently detected,enhanced and reconstructed automatically with sweep frequency method based on finding the peak value of singular value ratio(SVR) spectrum.Such signal processing appro... |
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| Keywords: | rolling bearing Morlet wavelet transform singular value decomposition singular value ratio spectrum |
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