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Graphical methods for railway track condition assessment and prognostics
Luleå tekniska universitet, Institutionen för ekonomi, teknik, konst och samhälle, Industriell ekonomi.ORCID iD: 0000-0003-3911-8009
Swedish Transport Administration. Luleå tekniska universitet, Institutionen för ekonomi, teknik, konst och samhälle, Industriell ekonomi.ORCID iD: 0000-0002-6479-9101
Responsible organisation
2019 (English)Conference paper, Oral presentation with published abstract (Other academic)
Abstract [en]

This paper presents graphical methods for monitoring, diagnostics, and prognostics of the condition of railway infrastructure as support to maintenance planning. The paper also uses graphics to aid univariate, bivariate and multivariate analyses of large datasets of secondary data for linear asset condition assessment in the temporal and spatial domains. We present graphical methods useful for evaluating how the asset degrades and how maintenance actions affect the track condition within different time horizons. Hence, the infrastructure manager and the contracted entrepreneur can share a common view of the asset’s current and future condition, as well as maintenance effectiveness. 

Place, publisher, year, edition, pages
2019.
Keywords [en]
Track geometry, graphical methods, railway, data quality, diagnostics, prognostics, maintenance, Sweden
National Category
Infrastructure Engineering
Research subject
FOI-portföljer, Vidmakthålla
Identifiers
URN: urn:nbn:se:trafikverket:diva-12177OAI: oai:DiVA.org:trafikverket-12177DiVA, id: diva2:1756821
Conference
26 th EurOMA Conference Operations adding value to society 17th - 19th June 2019, Helsinki, Finland
Projects
Samordnad, effektiv planering av järnvägsinfrastrukturunderhåll
Funder
Swedish Transport Administration, TRV 2017/14891Available from: 2023-05-15 Created: 2023-05-15 Last updated: 2023-05-15Bibliographically approved

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fulltext(1586 kB)213 downloads
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Bergquist, BjarneSöderholm, Peter
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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • vancouver
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Output format
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