A reliability-based prognostics framework for railway track management
Railway track geometry deterioration due to traffic loading is a complex problem with important implications in cost and safety. Without appropriate maintenance, track deterioration can lead to severe speed restrictions or disruptions, and in extreme cases, to train derailment. This paper proposes a...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2017
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| Online Access: | https://eprints.nottingham.ac.uk/48676/ |
| _version_ | 1848797820296888320 |
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| author | Chiachío, Juan Chiachío, Manuel Prescott, Darren Andrews, John |
| author_facet | Chiachío, Juan Chiachío, Manuel Prescott, Darren Andrews, John |
| author_sort | Chiachío, Juan |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Railway track geometry deterioration due to traffic loading is a complex problem with important implications in cost and safety. Without appropriate maintenance, track deterioration can lead to severe speed restrictions or disruptions, and in extreme cases, to train derailment. This paper proposes a physics-based reliability-based prognostics framework as a paradigm shift to approach the problem of railway track management. As key contribution, a geo-mechanical elastoplastic model for cyclic ballast settlement is adopted and embedded into a particle filtering algorithm for sequential state estimation and RUL prediction. The suitability of the pro- posed methodology is investigated and discussed through a case study using published data taken from a laboratory simulation of train loading and tamping on ballast carried out at the University of Nottingham (UK). |
| first_indexed | 2025-11-14T20:09:57Z |
| format | Conference or Workshop Item |
| id | nottingham-48676 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:09:57Z |
| publishDate | 2017 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-486762020-05-04T19:15:03Z https://eprints.nottingham.ac.uk/48676/ A reliability-based prognostics framework for railway track management Chiachío, Juan Chiachío, Manuel Prescott, Darren Andrews, John Railway track geometry deterioration due to traffic loading is a complex problem with important implications in cost and safety. Without appropriate maintenance, track deterioration can lead to severe speed restrictions or disruptions, and in extreme cases, to train derailment. This paper proposes a physics-based reliability-based prognostics framework as a paradigm shift to approach the problem of railway track management. As key contribution, a geo-mechanical elastoplastic model for cyclic ballast settlement is adopted and embedded into a particle filtering algorithm for sequential state estimation and RUL prediction. The suitability of the pro- posed methodology is investigated and discussed through a case study using published data taken from a laboratory simulation of train loading and tamping on ballast carried out at the University of Nottingham (UK). 2017-10-30 Conference or Workshop Item PeerReviewed Chiachío, Juan, Chiachío, Manuel, Prescott, Darren and Andrews, John (2017) A reliability-based prognostics framework for railway track management. In: Annual Conference of the Prognostics and Health Management Society, 2017, 2-5 October 2017, St. Petersburg, Florida, USA. https://www.phmsociety.org/sites/phmsociety.org/files/phm_submission/2017/phmc_17_046.pdf |
| spellingShingle | Chiachío, Juan Chiachío, Manuel Prescott, Darren Andrews, John A reliability-based prognostics framework for railway track management |
| title | A reliability-based prognostics framework for railway track management |
| title_full | A reliability-based prognostics framework for railway track management |
| title_fullStr | A reliability-based prognostics framework for railway track management |
| title_full_unstemmed | A reliability-based prognostics framework for railway track management |
| title_short | A reliability-based prognostics framework for railway track management |
| title_sort | reliability-based prognostics framework for railway track management |
| url | https://eprints.nottingham.ac.uk/48676/ https://eprints.nottingham.ac.uk/48676/ |