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Risk-Based Dependability Assessment of Digitalised Condition-Based Maintenance in Railway—Part II–Event Tree Analysis (ETA)
Söderholm, Peter
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics. Trafikverket, Sweden.
ORCID iD:
0000-0002-6479-9101
Akersten, Per Anders
Linnæus University, Växjö, Sweden.
2024 (English)
In:
International Congress and Workshop on Industrial AI and eMaintenance 2023, Springer Science and Business Media Deutschland GmbH , 2024, p. 161-178
Conference paper, Published paper (Other academic)
Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH , 2024. p. 161-178
Series
Lecture Notes in Mechanical Engineering, ISSN 2195-4356, E-ISSN 2195-4364
National Category
Reliability and Maintenance
Research subject
Quality Technology and Logistics
Identifiers
URN:
urn:nbn:se:ltu:diva-103885
DOI:
10.1007/978-3-031-39619-9_12
Scopus ID:
2-s2.0-85181981792
OAI: oai:DiVA.org:ltu-103885
DiVA, id:
diva2:1830509
Conference
7th International Congress and Workshop on Industrial AI and eMaintenance, IAI 2023,Luleå,Sweden,June 13-15,2023
Available from:
2024-01-23
Created:
2024-01-23
Last updated:
2024-01-23
Bibliographically approved
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ieee
modern-language-association-8th-edition
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apa
ieee
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vancouver
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