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Data-driven railway maintenance scheduling based on track condition prediction
Sedghi, Mahdieh
Luleå tekniska universitet, Industriell Ekonomi.
Vanhatalo, Erik
Luleå tekniska universitet, Industriell Ekonomi.
ORCID iD:
0000-0003-1473-3670
Migdalas, Athanasios
Luleå tekniska universitet, Industriell Ekonomi.
ORCID iD:
0000-0001-8473-3663
Kulahci, Murat
Luleå tekniska universitet, Industriell Ekonomi.
ORCID iD:
0000-0003-4222-9631
Kauppila, Osmo
University of Oulu, Oulu, Finland.
Show others and affiliations
Responsible organisation
Swedish Transport Administration
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-5619
OAI: oai:DiVA.org:trafikverket-5619
DiVA, 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 2017/14890
Available from:
2019-08-07
Created:
2022-10-13
Last updated:
2023-02-01
Bibliographically approved
Open Access in DiVA
No full text in DiVA
Other links
https://ihha2019.com/
Authority records
Sedghi, Mahdieh
Vanhatalo, Erik
Migdalas, Athanasios
Kulahci, Murat
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Sedghi, Mahdieh
Vanhatalo, Erik
Migdalas, Athanasios
Kulahci, Murat
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Direct link
http://trafikverket.diva-portal.org/smash/record.jsf?pid=diva2:1703449
Cite
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modern-language-association-8th-edition
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modern-language-association-8th-edition
vancouver
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