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基于EMD与切片双谱的轴承故障诊断方法

张 琳 黄 敏

张 琳, 黄 敏. 基于EMD与切片双谱的轴承故障诊断方法[J]. 北京航空航天大学学报, 2010, 36(3): 287-290.
引用本文: 张 琳, 黄 敏. 基于EMD与切片双谱的轴承故障诊断方法[J]. 北京航空航天大学学报, 2010, 36(3): 287-290.
Zhang Lin, Huang Min. Fault diagnosis approach for bearing based on EMD and slice bi-spectrum[J]. Journal of Beijing University of Aeronautics and Astronautics, 2010, 36(3): 287-290. (in Chinese)
Citation: Zhang Lin, Huang Min. Fault diagnosis approach for bearing based on EMD and slice bi-spectrum[J]. Journal of Beijing University of Aeronautics and Astronautics, 2010, 36(3): 287-290. (in Chinese)

基于EMD与切片双谱的轴承故障诊断方法

详细信息
    作者简介:

    张 琳(1984-),女,天津人,硕士生,zl@dse.buaa.edu.cn.

  • 中图分类号: TH 133.33

Fault diagnosis approach for bearing based on EMD and slice bi-spectrum

  • 摘要: 针对轴承故障诊断问题,提出一种基于经验模态分解(EMD,Empirical Mode Decomposition)与切片双谱分析相结合的新方法.将原始信号分解成不同尺度的固有模态函数(IMF,Intrinsic Mode Function),求取IMF分量的包络,计算其对角切片双谱,提取由于二次相位耦合产生的非线性特征,得到轴承的故障特征频率.通过对仿真信号进行分析,表明该方法克服了传统的基于EMD的包络功率谱方法不能抑制噪声的缺点,同时较传统高阶谱方法计算量更小.给出了6205-2RS JEM SKF轴承诊断实例,说明了该方法的可用性.

     

  • [1] Huang Norden E,Shen Zheng,Long Steven R,et al.The empirical mode decomposition and the hilbert spectrum for nonlinear and non-stationary time series analysis[J].Proc R Soc lond A,1998,454:903-995 [2] Huang Norden E,Shen Zheng,Long Steven R.A new view of nonlinear water waves:the hilbert spectrum[J].Annu,Rev Fluid Mech,1999,31:417-457 [3] Huang Norden E,Wu Man-Li C,Long Steven R,et al.A confidence limit for the empirical mode decomposition and hilbert spectral analysis[J].Proc R Soc Lond 2003,A 459:2317-2345 [4] 吴国正,夏立,尹为民.现代信号处理技术[M].武汉:武汉大学出版社,2003:15-29 Wu Guozheng,Xia li,Yin Weimin.Modern signal processing technology[M].Wuhan:Wuhan University Press,2003:15-29(in Chinese) [5] Raghuveer M R.Time-domain approaches to quadratic phase coupling estimation[J].IEEE Transaction on Automatic Control,1990,35:48-56 [6] Zhang Guicai,Du Ruxu,Shi Tielin.Extracting gear fault features using integrated bispectrum //International Conference on Robotics,Intelligent Systems and Signal Processing.Changsha:IEEE,2003:548-553 [7] 李辉,郑海起,唐力伟.基于EMD和包络谱分析的轴承故障诊断研究[J].河北工业大学学报,2005,34(2):12-15 Li Hui,Zheng Haiqi,Tang Liwei.Study on faults diagnosis of bearing based on EMD and envelope spectrum[J].Journal of Hebei University of Technology,2005,34(2):12-15(in Chinese) [8] 舒忠平,杨智春.抑制经验模分解边缘效应的极值点对称延拓法[J].西北工业大学学报,2006,24(5):639-643 Shu Zhongping,Yang Zhichun.A better method for effectively suppressing end effect of empirical mode decomposition(EMD)[J].Journal of Northwestern Polytechnical University,2006,24(5):639-643(in Chinese)
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  • 被引次数: 0
出版历程
  • 收稿日期:  2009-03-04
  • 刊出日期:  2010-03-31

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