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Reliability Analysis of Switches and Crossings: A Case Study in Swedish Railway
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0002-4107-0991
2017 (English)In: International Journal of Railway Research, ISSN 2361-5376, Vol. 4, no 1, p. 1-12Article in journal (Refereed) Published
Abstract [en]

It is reported that switches and crossings (S&C) are one of the subsystems that cause the most delays on Swedish Railways while accounting for at least 13% of maintenance costs [6]. It is the main reason why we chose to base our study on this subsystem.

Intelligent data processing allows understanding the real reliability characteristics of the assets to be maintained. The first objective of this research is to determine the S&C reliability characteristics based on field data collection. Because field failure data are typically strongly censored, an especial statistics software package was developed to process field failure data, as commercial packages have not been found satisfactory in that respect. The resulting software, named RDAT® (Reliability Data Analysis Tool) has been relied upon for this study: it is especially adapted to statistical failure data analysis.

In the next step the availability of studied switches and crossings is estimated based on the reliability characteristics founded in the first step.

Place, publisher, year, edition, pages
Iran: Iran University of Science & Technology , 2017. Vol. 4, no 1, p. 1-12
Keywords [en]
Reliability; Availability; Weibull model; Switches and Crossings, RDAT
National Category
Engineering and Technology Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-68567OAI: oai:DiVA.org:ltu-68567DiVA, id: diva2:1202876
Available from: 2018-05-02 Created: 2018-05-02 Last updated: 2018-05-04Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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Output format
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