Measurement of Low-Frequency Wave Propagation in a Railway Contact Wire with Dispersive Characteristics Using Wavelet Transform


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The railway contact wire, which supplies electric railways with electric power, plays an important role in determining the maximum railway velocity. In general, the maximum allowable velocity of an electric railway is less than seventy percent of the wave propagation velocity of the contact wire. Because the contact wire is more a beam model with dispersive wave characteristics than a string model, the wave propagation velocity depends on the frequency. For this reason, there have been only few studies on the wave propagation of the contact wire. In this paper, we proposed two useful methods for estimating the wave propagation velocity of the railway contact wire by using the Gabor wavelet transform on the experimental signals. In the first method, the ridges of wavelet transform, which contain the essential information about dispersive characteristics, are used. Specifically, the wave propagation velocity of the contact wire can be extracted from the time difference of the wavelet ridges of the measured signals. In the second method, the cross-correlation analysis of each wavelet transform is used to extract the wave propagation. The selection of the optimal Gabor shaping factor for the best time-frequency localization by using the Shannon entropy cost function is also discussed.



Key Engineering Materials (Volumes 321-323)

Edited by:

Seung-Seok Lee, Joon Hyun Lee, Ik Keun Park, Sung-Jin Song, Man Yong Choi




S. Y. Park et al., "Measurement of Low-Frequency Wave Propagation in a Railway Contact Wire with Dispersive Characteristics Using Wavelet Transform", Key Engineering Materials, Vols. 321-323, pp. 1609-1615, 2006

Online since:

October 2006




[1] Mitsuo Aboshi, Research on methods to improve dynamics performance of current collection system by reducing wave motion of contact wire, RTRI report Vol. 26 (1998), p.36~37.

[2] F. Lanza di Scalea et al., Measuring high-frequency wave propagation in railroad tracks by joint time-frequency analysis, Journal of sound and vibration, Vol. 273 (2004), pp.637-651.


[3] Y.Y. Kim and E.H. Kim, Effectiveness of the CWT in the analysis of some dispersive elastic waves, Journal of acoustical society of America, Vol. 110 (2001), pp.86-94.

[4] Stephane Mallat, A wavelet tour of signal processing, 2nd edn, Academic press (1999).

[5] J. Lardies et al., Modal parameter estimation based on the wavelet transform of output data, Archive of applied mechanics, Vol. 73 (2004), pp.718-733.