Abstract
This paper describes results from a research and development (R&D) project at Trafikverket (Swedish transport administration). The purpose of the project is to establish a risk-based framework for continuous safety improvement in railway infrastructure asset management. The approach is based on a combination of methodologies and tools described in dependability standards, such as Fault Tree Analysis (FTA), Failure Modes, Effects and Criticality Analysis (FMECA) and Event Tree Analysis (ETA). The empirical material is related to railway track with focus on safety critical rail defects potentially leading to rail breaks and derailment, but also their management within Trafikverket. Besides identifying risks, barriers and improvements, the approach complies with regulations and mandatory standards. Examples of these are Common Safety Method for Risk Evaluation and Assessment (CSM-RA, EU 402/2013) and EN 50126—RAMS (Reliability, Availability, Maintainability and Safety) for railway applications. In addition, the approach complies with regulatory requirements related to enterprise risk management and internal control, i.e., effectiveness, productivity, compliance and reporting. The approach also supports asset management in accordance with the ISO 55000-series.
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References
(EU) 2018/762—Establishing common safety methods on safety management system requirements
(EU) No 1078/2012—Common safety method for monitoring to be applied by railway undertakings, infrastructure managers after receiving a safety certificate or safety authorisation by entities in charge
ERA-GUI-02-2015—Implementation guidance on CSIs
(EU) No 402/2013—Common safety method for risk evaluation and assessment
EN 50126-1—Railway applications—the specification and demonstration of reliability, availability, maintainability and safety (RAMS)—part 1: generic RAMS process
EN 50126-2—Railway applications—the specification and demonstration of reliability, availability, maintainability and safety (RAMS)—part 2: systems approach to safety
IEC 31010:2019—Risk management—risk assessment techniques
ERA/GUI/02-2008/SAF—Collection of examples of risk assessments and of some possible tools supporting the CSM Regulation
IEC 60812:2018—Failure modes and effects analysis (FMEA and FMECA)
IEC 62502:2010—Analysis techniques for dependability—event tree analysis (ETA)
IEC 61025:2006—Fault tree analysis (FTA)
(EU) No 1299/2014—Technical specifications for interoperability relating to the ‘infrastructure’ subsystem of the rail system in the European Union
IRS (2018) IRS 70712—rail defects
UIC (2015) Leaflet 725—treatment of rail defects
Söderholm P (2015) Rail breaks track section 124. Technical report, Trafikverket, Luleå
Eriksson A, Asgeir IA, Lennartsson S (2015) Risk assessment derailment due to rail breaks at track section 124. Technical report, Lloyd’s Register Consulting, Sundbyberg
Söderholm P, Bergquist B (2016) Rail breaks: an exploratory case study. In: Current trends in reliability, availability, maintainability and safety: an industry perspective, pp 519–541
Söderholm P, Nilsen T (2017) Systematic risk-analysis to support a living maintenance programme for railway infrastructure. J Qual Maint Eng 23(3):326–340
IEC 60300-3-11:2009—Dependability management—part 3-11: application guide—reliability centred maintenance
Acknowledgements
We acknowledge the support received from Trafikverket by projects ASSET (TRV 2022/29194) and Reality Lab Digital Railway (TRV 2017/67785). We greatly appreciate management commitment from Björn Dellås and Jonas Larsson, and the specialists’ technical knowledge as input to the analyses.
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Söderholm, P., Wikberg, L. (2024). Risk-Based Safety Improvements in Railway Asset Management. In: Kumar, U., Karim, R., Galar, D., Kour, R. (eds) International Congress and Workshop on Industrial AI and eMaintenance 2023. IAI 2023. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-39619-9_4
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DOI: https://doi.org/10.1007/978-3-031-39619-9_4
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