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基于分数Fourier变换的机械故障源盲分离方法的研究 被引量：2

Blind Separation of Machine Fault Sources Based on FRFT
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摘要 结合分数Fourier变换和盲源分离,提出了一种基于分数Fourier变换的机械故障源盲分离方法,试验结果表明,该方法能有效地分离具有不同的分数Fourier变换的机械源信号。 Combining fractional Fourier transform and blind source separation,a blind separation method of machine fault sources is proposed based on fractional Fouier transform.The experiment results show that the proposed method can effectively separate machine source signals under the condition that the machine fault sources have the different FRFT.
作者 李志农 吕亚平 岳秀廷
机构地区 南昌航空大学无损检测技术教育部重点试验室 郑州大学机械工程学院
出处 《轴承》 北大核心 2010年第6期47-50,共4页 Bearing
基金 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)
关键词 滚动轴承 故障诊断 FRFT 盲源分离 非平稳信号 时频分析 rolling bearing fault diagnosis fractional Fouier transform blind source separation non-stationary signal time-frequency analysis
分类号 TH133.33 [机械工程—机械制造及自动化] TN911.7 [电子电信—通信与信息系统]
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参考文献12

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二级参考文献30

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共引文献44

同被引文献15

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  • 10田昊,唐力伟,田广,张彦.基于核独立分量分析的齿轮箱故障诊断[J].振动与冲击,2009,28(5):163-164. 被引量：13

引证文献2

二级引证文献13

轴承
2010年 第6期

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