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A reliability study of railway switch and crossing components

Litherland, Jack; Andrews, John

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Authors

Jack Litherland

JOHN ANDREWS john.andrews@nottingham.ac.uk
Professor of Infrastructure Asset Management



Abstract

Within any railway network Switches and Crossings (S&C) are essential. They allow trains to change tracks, allowing different routes to be selected. Despite their necessity, they generally have a lower reliability than plain line track and are often subject to breakdowns due to the high number of interlinking electrical and mechanical components they contain. Due to their location such as station throats and major junctions, S&C breakdown is generally very disruptive to traffic causing significant delays. Ensuring that S&C units are maintained correctly and minimising their risk of failure, is therefore of critical importance to railway asset managers. This research uses maintenance and failure data to determine probability distributions for the degradation, failure, inspection and maintenance of nine critical components within S&C units. These distributions can then be used within an asset management framework to simulate the expected operational behaviour of an S&C unit under a given set of conditions, allowing more informed asset management decisions to be taken.

Citation

Litherland, J., & Andrews, J. (2022). A reliability study of railway switch and crossing components. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, https://doi.org/10.1177/09544097221100672

Journal Article Type Article
Acceptance Date Apr 24, 2022
Online Publication Date May 20, 2022
Publication Date May 20, 2022
Deposit Date May 25, 2022
Publicly Available Date May 25, 2022
Journal Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit
Print ISSN 0954-4097
Electronic ISSN 2041-3017
Publisher SAGE Publications
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1177/09544097221100672
Keywords Railways; Switches and Crossings (S&C); Asset Management; Poisson Process; Weibull Process
Public URL https://nottingham-repository.worktribe.com/output/8221619
Publisher URL https://journals.sagepub.com/doi/abs/10.1177/09544097221100672?journalCode=pifa

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