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A condition-based maintenance methodology for rails in regional railway networks using evolutionary multiobjective optimization: Case study line Braşov to Zărneşti in Romania

Authors
  • Nunez, Alfredo (author)
  • Jamshidi, A. (author)
  • Wang, H. (author)
  • Hendriks, J.M. (author)
  • Ramirez Fonseca, I. (author)
  • Moraal, J. (author)
  • Dollevoet, R.P.B.J. (author)
  • Li, Z. (author)
Publication Date
Jan 01, 2018
Identifiers
DOI: 10.1109/CEC.2018.8477842
OAI: oai:tudelft.nl:uuid:5000e635-e70a-42f0-bc8a-b5aefc1ef856
Source
TU Delft Repository
Keywords
Language
English
License
Unknown
External links

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,<br/>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. / Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. / Railway Engineering

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