A reliability-based prognostics framework for railway track management

Chiachío, Juan and Chiachío, Manuel and 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.

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Available under Licence Creative Commons Attribution.
Download (413kB) | Preview

Abstract

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).

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published in: Prognostics and Health Management Society Conference Proceedings 2017, v.8, 046, p. 396-406. ISBN 9781936263264.
Schools/Departments: University of Nottingham, UK > Faculty of Engineering
Related URLs:
URLURL Type
https://www.phmsociety.org/events/conference/phm/17/proceedingsUNSPECIFIED
https://www.phmsociety.org/node/2376UNSPECIFIED
Depositing User: Eprints, Support
Date Deposited: 12 Dec 2017 10:24
Last Modified: 02 Jul 2018 09:17
URI: http://eprints.nottingham.ac.uk/id/eprint/48676

Actions (Archive Staff Only)

Edit View Edit View