Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Event tree analysis for risk-based assessment of digitalised condition-based maintenance in railway
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics. Trafikverket, Box 809, 971 25, Luleå, Sweden.ORCID iD: 0000-0002-6479-9101
Linnæus University, 351 95, Växjö, Sweden.
2025 (English)In: International Journal of Systems Assurance Engineering and Management, ISSN 0975-6809, E-ISSN 0976-4348, Vol. 16, no 10, p. 3522-3533Article in journal (Refereed) Published
Abstract [en]

The purpose of this paper is to describe a risk-based scenario analysis, by use of an Event Tree Analysis approach, which will support testability considerations and test level integration in the design or dependability improvement phases of technical systems. The proposed scenario analysis includes fault recognition and fault localization efforts and their associated hazards of false alarms, unrecognized faults, and un-localized faults. The combination of these single hazards into the hazard of NFF events and the consequences to safety, dependability, and cost are also discussed. It should be noted that the paper focuses on Built-in-Test (BIT), i.e., the capability of a test system of performing automatic fault recognition and fault localization. The hardware aspects, related to Built-in-Test Equipment (BITE), are not specifically considered. An earlier version of this paper has previously been presented at the IAI2023 Congress. 

Place, publisher, year, edition, pages
Springer Nature, 2025. Vol. 16, no 10, p. 3522-3533
Keywords [en]
Event tree analysis (ETA), Condition-based maintenance (CBM), Railway infrastructure
National Category
Other Civil Engineering Reliability and Maintenance
Research subject
Operation and Maintenance Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-114052DOI: 10.1007/s13198-025-02858-6ISI: 001520663100001Scopus ID: 2-s2.0-105009552196OAI: oai:DiVA.org:ltu-114052DiVA, id: diva2:1983219
Projects
ASSETReality Lab Digital Railway
Funder
Swedish Transport Administration, TRV 2022/29194Swedish Transport Administration, TRV 2017/67785Vinnova, 2017-02139
Note

Validerad;2025;Nivå 1;2025-11-14 (u8);

Full text license: CC BY;

Available from: 2025-07-10 Created: 2025-07-10 Last updated: 2025-11-28Bibliographically approved

Open Access in DiVA

fulltext(668 kB)20 downloads
File information
File name FULLTEXT02.pdfFile size 668 kBChecksum SHA-512
112666d48be639309dd5fba9dce4076f56b285c688fc7bdd37336462d16adebb9e3d265ab1b6403d5e708b13f7a18a97c45f6a462b3a6530b03a533168f7dbfd
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records

Söderholm, Peter

Search in DiVA

By author/editor
Söderholm, Peter
By organisation
Operation, Maintenance and Acoustics
In the same journal
International Journal of Systems Assurance Engineering and Management
Other Civil EngineeringReliability and Maintenance

Search outside of DiVA

GoogleGoogle Scholar
Total: 63 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 920 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf