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基于EMD的汽轮机碰摩信号消噪技术研究 被引量:2

A Study on Turbine Rubbing Signal De-noising Technique Based on EMD
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摘要 基于EMD理论提出一种汽轮机振动信号自适应消噪方法,对实测汽轮机碰摩振动信号EMD消噪和小波软阀值消噪结果的比较表明,基于EMD消噪方法能够有效地消除旋转机械振动信号中的噪声。 Based on Empirical Mode Decomposition (EMD) theory, the steam turbine vibration signal adaptive de-noising method is introduced. The EMD de-noising and wavelet soft thresholding results for the local measured rubbing vibration signals of turbine, showed that the based EMD de-noising method can effectively eliminate the vibration signal of rotating machinery noise.
出处 《汽轮机技术》 北大核心 2011年第1期71-73,共3页 Turbine Technology
基金 南京工程学院科研基金项目(KXJ08060)
关键词 经验模式分解 汽轮机 碰摩故障 信号消噪 小波软阀值 empirical mode decompositlon steam turbine rubbing fault signal de-noising wavelet soft thresholding
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参考文献5

  • 1Mallat S.信号处理的小波导引[M].杨理华,等译,北京:机械工业出版社,2002.122-237.
  • 2D. L. Donoho. De - noising By Soft - thresholding [ J ]. IEEE Transactions on hfformation Theory, 1995,41 ( 3 ) : 613 - 627.
  • 3Huang N E, Shen Z, Long S R. The Empirical Mode Composition and the Hilbert Spectrum for Nonlinear and Non - stationary Time Series Analysis [ J ]. Proc Royal Soc London A, 1998,454 : 903 - 995.
  • 4WU Zhao - hua, Huang N E. A Study of the Characteristics of White Noise Using the Empirical Mode Decomposition Method[ C ] //Proceedings of the Royal Society. London: The Royal Society, 2004, 460:1597-1611.
  • 5崔锦泰.小波分析导论[M].程正兴,译,西安:西安交通大学出版社,1994,1-95.

同被引文献15

  • 1Huang N. E., Shen Z., Long S. 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.
  • 2Flandrin P., Rilling G., Goncalves P. Empirical mode decomposition as a filter bank[J]. IEEE Sig. Proc. Lett., 2004, 11(2): 112-114.
  • 3Boudraa A. 0., Cexus J. C. EMD-based signal filtering[J].IEEE Trans. Instm. Meas., 2007,56(6). 2196-2202.
  • 4Wu Z. H., Huang N. E. A study of the characteristics of white noise using the empirical mode decomposition method[J]. Proc. R. Soc. Lond.A, 2004, 460:1597-1611.
  • 5khaldi K. Boudraa A. O., Bouchikhi, Aet al. Speech signal noise reduction by EMD[C]. ISCCSP, Malta, 2008, 1155-1158.
  • 6Boudraa A. O., Cexus J. C. Denoising via empirical mode decomposition[C], in Proc. IEEE ISCCSP, Marrakech, Morocco, 2006, 4-8.
  • 7Donoho D L. De-noising by soft-thresholding[J]. IEEE Transactions on Information Theory, 1995,41 (3):613-627.
  • 8陈凯.基于经验模式分解的去噪方法[J].石油地球物理勘探,2009,44(5):603-608. 被引量:21
  • 9曲从善,路廷镇,谭营.一种改进型经验模态分解及其在信号消噪中的应用[J].自动化学报,2010,36(1):67-73. 被引量:36
  • 10李志全,曹平,王亚男,刘正君,张景茹.基于经验模态分解消噪的光纤光栅解调系统[J].光子学报,2010,39(8):1367-1371. 被引量:6

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