Railway Wheel Flat and Rail Surface Defect Detection by Time-Frequency Analysis

LIANG, Bo, IWNICKI, Simon, FENG, Gu, BALL, Andrew, VAN TUNG, Tran and CATTLEY, Robert (2013). Railway Wheel Flat and Rail Surface Defect Detection by Time-Frequency Analysis. Chemical Engineering Transactions, 33, 745-750.

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Official URL: http://www.aidic.it/cet/13/33/125.pdf
Link to published version:: https://doi.org/10.3303/CET1333125


Damage to the surface of railway wheels and rails commonly occurs in most railways and, if not detected at an early stage, can result in rapid deterioration and possible failure incurring high maintenance costs. If detected at an early stage these maintenance costs can be minimised. This paper presents an investigation into the use of time-frequency analysis of vibrations in railway vehicles for early detection of wheel flats and rail surface defects. Time-frequency analysis is a useful tool for identifying the content of a signal in the frequency domain without losing information about its time domain characteristics. Three commonly used time-frequency analysis techniques: Short-Time-Fourier-Transform (STFT); Wigner-Ville Transform (WVT); and Wavelet Transform (WT) are investigated in this work.

Item Type: Article
Additional Information: Zio, E Baraldi, P Pierucci, S Klemes, JJ 4th IEEE Conference on Prognostics and System Health Management (PHM) Sep 08-11, 2013 Milan, ITALY Ieee 0 978-88-95608-24-2
Identification Number: https://doi.org/10.3303/CET1333125
Page Range: 745-750
Depositing User: Hilary Ridgway
Date Deposited: 14 Jan 2015 11:35
Last Modified: 18 Mar 2021 10:32
URI: https://shura.shu.ac.uk/id/eprint/9159

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