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Assessing the Suitability of Software Tools for System-Theoretic Process Analysis of Nuclear Instrumentation and Control Systems
Aalto University, Department of Electrical Engineering and Automation, Espoo, Finland.
Aalto University, Department of Electrical Engineering and Automation, Espoo, Finland.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science. Aalto University, Department of Electrical Engineering and Automation, Espoo, Finland.ORCID iD: 0000-0002-9315-9920
2024 (English)In: 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation - ETFA 2024 / [ed] Tullio Facchinetti, Angelo Cenedese, Lucia Lo Bello, Stefano Vitturi, Thilo Sauter, Federico Tramarin, IEEE, 2024Conference paper, Published paper (Refereed)
Abstract [en]

Modernization of currently operational nuclear power plants is becoming increasingly important to maintain their performance and safety. Ensuring the safety of newer Instrumentation and Control (I&C) systems used in modernization efforts requires hazard analysis techniques suitable for the analysis of complex and software-heavy systems. System-Theoretic Process Analysis (STPA) has proven to be a suitable hazard analysis method for these complex I&C systems, however, its practical use is still often limited by its labor-intensive and time-consuming nature, partially due to the limitations of the tools used to perform the analysis: common Office tools such as Microsoft Excel or Visio. Conducting an STPA analysis could be simpler and more attractive with software tools specific to the method. This work introduces the requirements for these software tools and lays the foundation for further work, in which software tools will be evaluated against these requirements.

Place, publisher, year, edition, pages
IEEE, 2024.
Keywords [en]
I&C, nuclear power plant, software tools, STPA, process automation
National Category
Software Engineering Computer Systems
Research subject
Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-110691DOI: 10.1109/ETFA61755.2024.10710845Scopus ID: 2-s2.0-85207853105OAI: oai:DiVA.org:ltu-110691DiVA, id: diva2:1912576
Conference
IEEE International Conference on Emerging Technologies and Factory Automation (EFTA 2024), Padova, Italy, September 10-13, 2024
Note

Funder: Finnish NationalNuclear Safety and Waste Management Research Programme 2023-2028 (SAFER2028); 

ISBN for host publication: 979-8-3503-6123-0;

Available from: 2024-11-12 Created: 2024-11-12 Last updated: 2024-11-12Bibliographically approved

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Vyatkin, Valeriy

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