基于EMD与切片双谱的轴承故障诊断方法

张 琳; 黄 敏

基于EMD与切片双谱的轴承故障诊断方法

张琳,
黄敏

北京航空航天大学工程系统工程系, 北京 100191

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
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- 文章访问数: 5069
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- 被引次数: 0
出版历程
- 收稿日期: 2009-03-04
- 网络出版日期: 2010-03-31

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

Dept. of System Engineering of Engineering Technology, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

摘要

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.
- 故障诊断 /
- 轴承 /
- EMD /
- 切片双谱
Abstract: A new approach based on the empirical mode decomposition (EMD) and slice bi-spectrum was presented for fault diagnosis on roller bearings. Original signals were decomposed into a series of intrinsic mode functions (IMFs) of different scales. Envelopes of the IMFs were extracted and a diagonal slice bi-spectrum for the envelopes was computed to extract the non-linear feature deriving from the quadratic phase coupling, as well as the fault characteristic frequencies. An analysis on simulation signals shows that the drawback that traditional envelope spectrum methods based on EMD cannot inhibit the noise can be overcome by this approach. Meanwhile, its computation load is less than traditional high-order spectrum methods. A diagnosis instance of the bearing 6205-2RS JEM SKF was presented to show the feasibility of this approach.
- fault diagnosis /
- bearings /
- empirical mode decomposition /
- slice bi-spectrum

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参考文献(1)

[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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