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Control Charts supporting Condition-Based Maintenance of Linear Railway Infrastructure Assets
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.ORCID iD: 0000-0003-3911-8009
Trafikverket.
2014 (English)In: Proceedings of the 3rd international workshop and congress on eMaintenance: June 17-18 Luleå, Sweden : eMaintenance, Trends in technologies & methodologies, challenges, possibilites and applications / [ed] Uday Kumar; Ramin Karim; Aditya Parida; Philip Tretten, Luleå: Luleå tekniska universitet, 2014, 101-107 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a control chart approach for monitoring,diagnostics and prognostics to support condition-basedmaintenance (CBM) using condition data of linear railwayinfrastructure assets. The condition data were obtained fromregular inspections done by a railway track measurement wagon.The condition data were statistically analysed by using twodifferent control charts to evaluate the possibility for earlierdetection of derailment hazardous faults using both temporal andspatial information. The study indicates that that the proposedcontrol chart approach can be used for condition assessment oftrack and thereby provide valuable decision support for CBM. Thecontrol chart for condition information in the temporal domainsupports diagnostics, while the control chart for conditioninformation in the spatiotemporal domain also supportsprognostics. The two proposed control charts give earlier faultwarnings compared to the traditional approach. This facilitatesdecisions regarding CBM actions with an extended planninghorizon and gives the possibility to increase the operationalavailability of track.

Place, publisher, year, edition, pages
Luleå: Luleå tekniska universitet, 2014. 101-107 p.
National Category
Reliability and Maintenance
Research subject
Quality Technology and Management; Effective innovation and organisation (AERI); Sustainable transportation (AERI)
Identifiers
URN: urn:nbn:se:ltu:diva-39906Local ID: ed2c0e63-1bb3-43c4-9793-95fdb403037fISBN: 978-91-7439-973-8 (print)ISBN: 978-91-7439-973-8 (electronic)OAI: oai:DiVA.org:ltu-39906DiVA: diva2:1013425
Conference
International Workshop and Congress on eMaintenance : 17/06/2014 - 18/06/2014
Projects
Förbättrad tillståndsbedömning genom statistisk analys
Note
Godkänd; 2014; 20140619 (andbra)Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2017-10-19Bibliographically approved

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Bergquist, BjarneSöderholm, Peter
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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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Language
  • de-DE
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  • en-US
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  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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  • text
  • asciidoc
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