Rail Damage Detection Based on AE Technology and Wavelet Data Processing

Abstract:

In order to improve the accuracy and reliability of the defect recognition in rails, the new principle and methods of NDT should be explored, and the safety of railway operation and guiding the repair can be guaranteed. The study is aiming at comparing and analyzing the characteristics of destructive data signals with non-destructive ones. The damage and defect can be judged by the differences of the processed data in the frequency domain and energy spectrum. The location of the defect and damage can be obtained by the singularities of destructive signals using wavelet data processing method: continuous wavelet transform, Mallat algorithm and à Trous algorithm. Based on the above consequence, à Trous algorithm is found that its result is more similar to the real damage location, which proves that the method can be used in the real damage detection and provide us more precise defect location information for early warning.

• Periodical: Applied Mechanics and Materials (Volumes 744-746)
• Pages: 1339-1343
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.744-746.1339
• Online since: March 2015
• Authors: Yang Song, Fan Wu*
• Keywords: AE, NDT, Rail, Singularity Detection

References

[1] Y. Li, J. Wilson, G. Y. Tian: Experiment and simulation study of 3D magnetic field sensing for magnetic flux leakage defect characterization, NDT & E International, Vol. 40(2007), pp.179-184.

DOI: 10.1016/j.ndteint.2006.08.002

[2] Z. Song, T. Yamada, H. Shitara and Y. Takemura: Detection of Damage and Crack in Railhead by Using Eddy Current Testing, Journal of Electromagnetic Analysis and Applications, Vol. 3 (2011), pp.546-550.

DOI: 10.4236/jemaa.2011.312082

[3] R.S. Edwards, S. Dixon, X. Jian: Characterisation of defects in the railhead using ultrasonic surface waves, NDT & E International, Vol. 39(2006), pp.468-475.

DOI: 10.1016/j.ndteint.2006.01.005

[4] S. Coccia, R. Phillips, C. Nucera, I. Bartoli, S. Salamone, F. Lanza Di Scalea, M. Fateh, G. Carr: UCSD/FRA non-contact ultrasonic guided-wave system for rail inspection, An update (2011).

DOI: 10.1117/12.880238

[5] K. Bruzelius, D. Mba: An initial investigation on the potential applicability of Acoustic Emission to rail track fault detection, NDT & E International, Vol. 37(2004), pp.507-516.

DOI: 10.1016/j.ndteint.2004.02.001

[6] G. Song, H. Gu, Y.L. Mo: Concrete structural health monitoring using embedded piezoceramic transducers, Smart Materials and Structures, Vol. 16(2007), p.959.

DOI: 10.1088/0964-1726/16/4/003

[7] K. Bollas, D. Papasalouros, D. Kourousis, A. Anastasopoulos: Acoustic emission monitoring of wheel sets on moving trains, Construction and Building Materials, Vol. 48(2013), pp.1266-1272.

DOI: 10.1016/j.conbuildmat.2013.02.013