A knowledge-based prognostics framework for railway track geometry degradation
Chiachío, Juan and Chiachío, Manuel and Prescott, Darren and Andrews, John (2018) A knowledge-based prognostics framework for railway track geometry degradation. Reliability Engineering and System Safety, 181. pp. 127-141. ISSN 0951-8320 (https://doi.org/10.1016/j.ress.2018.07.004)
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Abstract
This paper proposes a paradigm shift to the problem of infrastructure asset management modelling by focusing towards forecasting the future condition of the assets instead of using empirical modelling approaches based on historical data. The proposed prognostics methodology is general but, in this paper, it is applied to the particular problem of railway track geometry deterioration due to its important implications in the safety and the maintenance costs of the overall infrastructure. As a key contribution, a knowledge-based prognostics approach is developed by fusing on-line data for track settlement with a physics-based model for track degradation within a filtering-based prognostics algorithm. The suitability of the proposed methodology is demonstrated and discussed in a case study using published data taken from a laboratory simulation of railway track settlement under cyclic loads, carried out at the University of Nottingham (UK). The results show that the proposed methodology is able to provide accurate predictions of the remaining useful life of the system after a model training period of about 10% of the process lifespan.
ORCID iDs
Chiachío, Juan ORCID: https://orcid.org/0000-0003-1243-8694, Chiachío, Manuel, Prescott, Darren and Andrews, John;-
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Item type: Article ID code: 65356 Dates: DateEvent5 July 2018Published5 July 2018Published Online4 July 2018AcceptedSubjects: Technology > Engineering (General). Civil engineering (General) Department: Faculty of Engineering > Naval Architecture, Ocean & Marine Engineering Depositing user: Pure Administrator Date deposited: 05 Sep 2018 10:27 Last modified: 14 Oct 2024 00:34 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/65356