| 时频域机械故障源盲源分离综述 |
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| 引用本文： | 李志农,吕亚平,肖尧先.时频域机械故障源盲源分离综述[J].机床与液压,2011,39(1). |
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| 作者姓名： | 李志农 吕亚平 肖尧先 |
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| 作者单位： | 1. 南昌航空大学无损检测技术教育部重点实验室,江西南昌,330063;郑州大学机械工程学院,河南郑州,450001
2. 南昌航空大学无损检测技术教育部重点实验室,江西南昌,330063 |
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| 基金项目： | 国家自然科学基金资助项目(50775208); 河南省教育厅自然科学基金资助项目(2008C460003,2006460005) |
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| 摘 要： | 论述基于时频分析的机械故障源盲分离方法,综述时频域盲分离的国内外研究现状。在此基础上,重点论述三种典型的时频域机械故障源分离(Cohen类时频域盲分离、分数Fourier变换域盲分离、EMD域盲分离)方法的技术现状,并进行比较。指出该领域内值得进一步研究的问题。
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| 关 键 词： | 盲源分离 时频分析 故障诊断 独立分量分析 |
A Survey on Blind Source Separation of Machine Fault Source in Time-frequency Domain |
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| LI Zhinong,LV Yaping,XIAO Yaoxian.A Survey on Blind Source Separation of Machine Fault Source in Time-frequency Domain[J].Machine Tool & Hydraulics,2011,39(1). |
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| Authors: | LI Zhinong LV Yaping XIAO Yaoxian |
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| Affiliation: | LI Zhinong1,2,LV Yaping1,XIAO Yaoxian1(1.Key Laboratory of Nondestructive Testing,Ministry of Education,Nanchang Hangkong University,Nanchang Jiangxi 360063,China,2.School of Mechanical Engineering,Zhengzhou University,Zhengzhou Henan 450001,China) |
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| Abstract: | The machine fault blind source separation method in time-frequency domain,which was named TF-BSS,was introduced.Its state of the art of current research was reviewed.The three typical algorithms,namely Cohen blind source separation,fractional Fourier transform blind source separation and empirical mode decomposition blind source separation,were discussed.Its further research problems were put forward. |
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| Keywords: | Blind source separation Time-frequency analysis Fault diagnosis Independent component analysis |
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