Event tree analysis for risk-based assessment of digitalised condition-based maintenance in railway
Peter Söderholm () and
Per-Anders Akersten
Additional contact information
Peter Söderholm: Trafikverket
Per-Anders Akersten: Linnæus University
International Journal of System Assurance Engineering and Management, 2025, vol. 16, issue 10, No 20, 3522-3533
Abstract:
Abstract 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.
Keywords: Event tree analysis (ETA); Condition-based maintenance (CBM); Railway infrastructure (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s13198-025-02858-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:ijsaem:v:16:y:2025:i:10:d:10.1007_s13198-025-02858-6
Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198
DOI: 10.1007/s13198-025-02858-6
Access Statistics for this article
International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar
More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().