Data Sources and Research Models for Turnouts

Petra A. Wilfling (), Michael Fellinger () and Peter Veit ()
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Petra A. Wilfling: Graz University of Technology
Michael Fellinger: Graz University of Technology
Peter Veit: Graz University of Technology

A chapter in Intelligent Quality Assessment of Railway Switches and Crossings, 2021, pp 109-127 from Springer

Abstract: Abstract The current inspection and measurement methodologies for turnouts are time driven and manual and thus based on unloaded measurements. However, these measurements are scarcely usable for behaviour prognosis. Analysis of technologies available on the market shows a possibility for a loaded and automatic inspection by combining already existing technologies. Standard Elements are currently in use as a common tool for assessing the life cycle of turnouts. Those Standard Elements include all maintenance tasks within the entire service life of turnouts, generated and based on experiences as well as on statistical data over an entire network and a long-time span. The economic justification of a maintenance task needs both, the initial investment and the remaining life span to be considered. However, the reasons for the end of service life and therefore lifetime limiting components must be analysed separately. This was done by numerous questionnaires and expert interviews, which have shown that the ballast and the sleepers are the overall reasons for the necessity of a reinvestment.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-030-62472-9_7

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DOI: 10.1007/978-3-030-62472-9_7

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