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Data-driven railway maintenance scheduling based on track condition prediction
Luleå tekniska universitet, Industriell Ekonomi.
Luleå tekniska universitet, Industriell Ekonomi.ORCID iD: 0000-0003-1473-3670
Luleå tekniska universitet, Industriell Ekonomi.ORCID iD: 0000-0001-8473-3663
Luleå tekniska universitet, Industriell Ekonomi.ORCID iD: 0000-0003-4222-9631
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Responsible organisation
2019 (English)Conference paper, Poster (with or without abstract) (Refereed)
Place, publisher, year, edition, pages
2019.
Series
Trafikverkets forskningsportföljer
National Category
Reliability and Maintenance
Research subject
FOI-portföljer, Vidmakthålla
Identifiers
URN: urn:nbn:se:trafikverket:diva-5619OAI: oai:DiVA.org:trafikverket-5619DiVA, id: diva2:1703449
Conference
International Heavy Haul STS Conference (IHHA 2019), Narvik Norway, June 10-14, 2019
Projects
Samordnad, effektiv planering av järnvägsinfrastrukturunderhåll
Funder
Swedish Transport Administration, TRV 2017/14890Available from: 2019-08-07 Created: 2022-10-13 Last updated: 2023-02-01Bibliographically approved

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No full text in DiVA

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https://ihha2019.com/

Authority records

Sedghi, MahdiehVanhatalo, ErikMigdalas, AthanasiosKulahci, Murat

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Sedghi, MahdiehVanhatalo, ErikMigdalas, AthanasiosKulahci, Murat
Reliability and Maintenance

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Total: 68 hits
CiteExportLink to record
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