Railway Tracks Dynamic Stress Detection System for Wheel-Flat Detection Purposes

This paper proposes a system for detecting mechanical stress in rails caused by moving trains, using signal processing for the interpretation of train wheel defects. Based on previous research on train wheel defects, this system identifies wave propagations associated with mechanical stress produced by the impact of the train's movement on the rails. Signal processing methods based on the Fourier Transform and Wavelet Transform are subsequently used on the onsite measured data to observe features of train wheel behavior and to detect defective wheels and/or rails.

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Publication Details

Published
2024-11-18
DOI
https://doi.org/10.1109/icecs61496.2024.10848939
Primary Topic
Engineering Applied Research
Type
article
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article

Railway Tracks Dynamic Stress Detection System for Wheel-Flat Detection Purposes

Marouane Ben-Akka, Harry Ramenah, Jean Gorse, Camel Tanougast et al.
Engineering Applied Research
article

Railway Tracks Dynamic Stress Detection System for Wheel-Flat Detection Purposes

Marouane Ben-Akka, Harry Ramenah, Jean Gorse, Camel Tanougast, Mathias Laviale
article en

Abstract

This paper proposes a system for detecting mechanical stress in rails caused by moving trains, using signal processing for the interpretation of train wheel defects. Based on previous research on train wheel defects, this system identifies wave propagations associated with mechanical stress produced by the impact of the train's movement on the rails. Signal processing methods based on the Fourier Transform and Wavelet Transform are subsequently used on the onsite measured data to observe features of train wheel behavior and to detect defective wheels and/or rails.

Hôpital Saint-Julien (FR), Laboratoire de Génie Informatique, de Production et de Maintenance, Université de Lorraine (FR)
Openalex Percentile: Top 70%
Engineering Applied Research
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Railway Tracks Dynamic Stress Detection System for Wheel-Flat Detection Purposes — Marouane Ben-Akka, Harry Ramenah, et al. · (2024) | TGRS Research Map | TGRS