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Data Sources and Research Models for Turnouts

In: Intelligent Quality Assessment of Railway Switches and Crossings

Author

Listed:
  • Petra A. Wilfling

    (Graz University of Technology)

  • Michael Fellinger

    (Graz University of Technology)

  • Peter Veit

    (Graz University of Technology)

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.

Suggested Citation

  • Petra A. Wilfling & Michael Fellinger & Peter Veit, 2021. "Data Sources and Research Models for Turnouts," Springer Series in Reliability Engineering, in: Roberto Galeazzi & Hilmar Kjartansson Danielsen & Bjarne Kjær Ersbøll & Dorte Juul Jensen & Ilmar Sa (ed.), Intelligent Quality Assessment of Railway Switches and Crossings, pages 109-127, Springer.
    • Handle: RePEc:spr:ssrchp:978-3-030-62472-9_7
    DOI: 10.1007/978-3-030-62472-9_7
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