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Shock and Vibration
Volume 2016, Article ID 5915762, 10 pages
http://dx.doi.org/10.1155/2016/5915762
Research Article

Gear Fault Diagnosis Based on Empirical Mode Decomposition and 1.5 Dimension Spectrum

Department of Physics and Electronics, Hunan University of Arts and Science, Changde 415000, China

Received 20 July 2015; Revised 8 November 2015; Accepted 15 November 2015

Academic Editor: Didier Rémond

Copyright © 2016 Jianhua Cai and Xiaoqin Li. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. W. A. Gardner and C. M. Spooner, “The cumulant theory of cyclostationary time-series, part I: foundation,” IEEE Transactions on Signal Processing, vol. 42, no. 12, pp. 3387–3408, 1994. View at Publisher · View at Google Scholar · View at Scopus
  2. S. Serhat and A. Emine, “Feature extraction related to bearing damage in electric motors by wavelet analysis,” Journal of the Franklin Institute, vol. 340, no. 2, pp. 125–134, 2003. View at Publisher · View at Google Scholar · View at Scopus
  3. H. Li, Y. Zhang, and H. Zheng, “Hilbert-Huang transform and marginal spectrum for detection and diagnosis of localized defects in roller bearings,” Journal of Mechanical Science and Technology, vol. 23, no. 2, pp. 291–301, 2009. View at Publisher · View at Google Scholar · View at Scopus
  4. L. Shen, X. Zhou, L. Liu, and F. Yang, “Application of morphological wavelet de-noising in extracting gear fault feature,” Transactions of the Chinese Society of Agricultural Machinery, vol. 41, no. 4, pp. 217–221, 2010. View at Publisher · View at Google Scholar · View at Scopus
  5. J. Lin and L. Qu, “Feature extraction based on Morlet wavelet and its application for mechanical fault diagnosis,” Journal of Sound and Vibration, vol. 234, no. 1, pp. 135–148, 2000. View at Publisher · View at Google Scholar · View at Scopus
  6. W. Y. Liu, B. P. Tang, and R. X. Chen, “A fault identification method based on high-order spectral analysis of diagonal slices,” Mechanical Science and Technology for Aerospace Engineering, vol. 29, no. 3, pp. 281–284, 2010. View at Google Scholar
  7. J. Cui, Y. R. Wang, and Q. Liu, “The technique of power electronic circuit fault diagnosis based on higher-order spectrum analysis and support vector machines,” Proceedings of the CSEE, vol. 27, no. 10, pp. 62–66, 2007. View at Google Scholar
  8. L. Chen, Y. Y. Zi, Z. J. He, and W. Cheng, “Research and application of ensemble empirical mode decomposition principle and 1.5 dimension spectrum method,” Journal of Xi'an Jiaotong University, vol. 43, no. 5, pp. 94–98, 2009. View at Google Scholar · View at Scopus
  9. Y. S. Zhang, S. X. Wang, and S. B. Li, “1.5 Dimension spectrum approach to quadratic phase coupling estimstion,” Acta Electronica Sinica, vol. 24, no. 4, pp. 109–112, 1996. View at Google Scholar
  10. N. E. Huang, M. C. Wu, S. R. Long et al., “A confidence limit for the empirical mode decomposition and Hilbert spectral analysis,” The Royal Society of London—Series A: Proceedings, vol. 459, no. 2037, pp. 2317–2345, 2003. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  11. N. E. Huang, Z. Shen, S. R. Long et al., “The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis,” The Royal Society of London—Series A: Proceedings, vol. 454, no. 1971, pp. 903–995, 1998. View at Publisher · View at Google Scholar · View at MathSciNet
  12. J.-H. Cai, J.-T. Tang, X.-R. Hua, and Y.-R. Gong, “An analysis method for magnetotelluric data based on the Hilbert-Huang transform,” Exploration Geophysics, vol. 40, no. 2, pp. 197–205, 2009. View at Publisher · View at Google Scholar · View at Scopus
  13. D. R. Veils and T. J. Ulrych, “Simulated annealing wavelet estimation via fourth-order cumulant matching,” Geophysics, vol. 61, no. 6, pp. 1939–1948, 1996. View at Publisher · View at Google Scholar · View at Scopus
  14. C. M. Spooner and W. A. Gardner, “The cumulant theory of cyclostationary time-series. II. Development and applications,” IEEE Transactions on Signal Processing, vol. 42, no. 12, pp. 3409–3429, 1994. View at Publisher · View at Google Scholar · View at Scopus
  15. J.-H. Cai, W.-W. Hu, Z.-Y. Ren, and L.-Y. Lei, “Magnetotelluric data processing and simulation based on higher-order statistics,” Journal of Central South University, vol. 41, no. 4, pp. 1556–1560, 2010. View at Google Scholar · View at Scopus
  16. Y. Y. Fan, B. Q. Tao, and K. Xing, “Feature extraction of ship-radiated noise by 1.5 dimension spectrum,” Acta Acustica, vol. 27, no. 1, pp. 71–76, 2002. View at Google Scholar