A condition-based maintenance methodology for rails in regional railway networks using evolutionary multiobjective optimization

Case study line Braşov to Zărneşti in Romania

Conference paper (2018)

Authors

Alfredo Nunez Railway Engineering - CEG
A. Jamshidi Railway Engineering - CEG
H. Wang Railway Engineering - CEG
J.M. Hendriks Railway Engineering - CEG
I. Ramirez Fonseca Railway Engineering - CEG
J. Moraal Railway Engineering - CEG
R.P.B.J. Dollevoet Railway Engineering - CEG
Z. Li Railway Engineering - CEG
Research Group
Railway Engineering (CEG) (TU Delft)
Copyright: © 2018 Alfredo Nunez, A. Jamshidi, H. Wang, J.M. Hendriks, I. Ramirez Fonseca, J. Moraal, R.P.B.J. Dollevoet, Z. Li
DOI
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https://doi.org/10.1109/CEC.2018.8477842
Railway Engineering KPIs Multiobjective optimization Acceleration measurements ARMOEA
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Published Date

2018

Language

English

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Faculty

Civil Engineering & Geosciences

Department

Engineering Structures

Research Group

Railway Engineering

Abstract

In this paper, we propose a methodology based on signal processing and evolutionary multiobjective optimization to facilitate the maintenance decision making of infra-managers in regional railways. Using a train in operation (with passengers onboard), we capture the condition of the rails using Axle Box Acceleration measurements. Then, using Hilbert-Huang Transform, the locations where the major risks are detected and ssessed with a degradation model. Finally,
evolutionary multiobjective optimization is employed to solve the maintenance decision problem, and to facilitate the visualization of the trade-offs between number of interventions and performance. Real-life measurements from the track from Braşov to Zărneşti in Romania are included to show the methodology.