Railway wheel flat and rail surface defect detection by time-frequency analysis

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1 Citation (Scopus)

Abstract

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.

LanguageEnglish
Pages745-750
Number of pages6
JournalChemical Engineering Transactions
Volume33
DOIs
Publication statusPublished - 2013

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Surface defects
Rails
Wheels
Wavelet transforms
Deterioration
Costs
Fourier transforms
Mathematical transformations
Defect detection

Cite this

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title = "Railway wheel flat and rail surface defect detection by time-frequency analysis",
abstract = "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.",
author = "Bo Liang and Simon Iwnicki and Fengshou Gu and Andrew Ball and Tran, {Van Tung} and Robert Cattley",
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AU - Iwnicki, Simon

AU - Gu, Fengshou

AU - Ball, Andrew

AU - Tran, Van Tung

AU - Cattley, Robert

PY - 2013

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AB - 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.

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T2 - Chemical Engineering Transactions

JF - Chemical Engineering Transactions

SN - 1974-9791

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