Wind Tower Vibration Signal Analysis Based on EMD and KPCA

Abstract:

For the non-stationary vibration signals of wind tower, using a new method based on KPCA to eliminate the interference of the vibration signal. After cancellation noise according to the method based on EMD, the vibration signals are decomposed and the vibration characteristics of the signals are finally extracted. The experimental analysis indicates that this method can provide an effective reference for the health detection of wind tower.

• Periodical: Applied Mechanics and Materials (Volumes 687-691)
• Pages: 3794-3800
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.687-691.3794
• Online since: November 2014
• Authors: Xi Cun You, Zhou Wan, Yi Yang Li, Hao Hua Liu, Zhuen Chen
• Keywords: EMD, KPCA, Signal Analysis, Vibration Signal, Wind Tower

References

[1] Huang 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]. Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 1998, 454(1971).

DOI: 10.1098/rspa.1998.0193

[2] Huang N E, Shen Z. Long S R. A new view of nonlinear water. waves: The Hilbert spectrum[J]. Annu. Rev. Fluid Mech., 1999, 31: 4l7-1457.

DOI: 10.1146/annurev.fluid.31.1.417

[3] Huang N E, Wu M C, Long S R, et a1. A confidence limit for empirical mode decomposition and Hilbert spectral analysis[J]. Proc. of R. Soc. Lond, Ser. A, 2003, 459: 23l7-2345.

DOI: 10.1098/rspa.2003.1123

[4] Nuttall A H. On the quadrature approximation to the Hilbert transform of modulated signals[J]. Proc. of IEEE, 1966, 54: 1458-1459.

DOI: 10.1109/proc.1966.5138

[5] Jian Hong Yang, Jin Wu Xu, De Bin Yang, et al. Based on the mainstream shape recognition Nonlinear time series noise reduction method and its application in fault diagnosis [J]. Chinese Journal Of Mechanical Engineering, 2006, 42(8): 154-158.

DOI: 10.3901/jme.2006.08.154