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A novel approach for quantitative importance analysis of safety DI&C systems in the nuclear field

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  • Shin, Sung-Min
  • Lee, Sang Hun
  • Shin, Seung Ki

Abstract

As the digitalization of the safety instrumentation and control (I&C) systems in the nuclear field causes very complex interactions between their components and difficulty in securing quantitative failure information of each component, there are considerable challenges in analyzing them via probabilistic safety assessment (PSA), the typical safety analysis framework of existing safety I&C systems. This study proposes a new approach to resolve these challenges. The suggested method develops a system model based on the systems-theoretic accident model and processes (STAMP) philosophy and assigns weights to specific components according to design information and operation strategies instead of quantitative failure information. Based on the assigned weights, the importance of each component is derived by calculating the effect of a single component failure on the overall I&C functions. The methodology is explained through simple examples and validated with an analysis of a real-world system. The proposed approach is expected to be useful in deriving insights from the design stages to the improvement stages for more diverse I&C systems by enabling quantitative importance analysis without failure information.

Suggested Citation

  • Shin, Sung-Min & Lee, Sang Hun & Shin, Seung Ki, 2022. "A novel approach for quantitative importance analysis of safety DI&C systems in the nuclear field," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
  • Handle: RePEc:eee:reensy:v:228:y:2022:i:c:s095183202200388x
    DOI: 10.1016/j.ress.2022.108765
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    1. Aldemir, T. & Guarro, S. & Mandelli, D. & Kirschenbaum, J. & Mangan, L.A. & Bucci, P. & Yau, M. & Ekici, E. & Miller, D.W. & Sun, X. & Arndt, S.A., 2010. "Probabilistic risk assessment modeling of digital instrumentation and control systems using two dynamic methodologies," Reliability Engineering and System Safety, Elsevier, vol. 95(10), pages 1011-1039.
    2. Jung, Sejin & Yoo, Junbeom & Lee, Young-Jun, 2020. "A Software Fault Tree Analysis Technique for Formal Requirement Specifications of Nuclear Reactor Protection Systems," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    3. Zhang, Xiaoge & Mahadevan, Sankaran & Lau, Nathan & Weinger, Matthew B., 2020. "Multi-source information fusion to assess control room operator performance," Reliability Engineering and System Safety, Elsevier, vol. 194(C).
    4. Read, G.J.M. & Naweed, A. & Salmon, P.M., 2019. "Complexity on the rails: A systems-based approach to understanding safety management in rail transport," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 352-365.
    5. Faiella, Giuliana & Parand, Anam & Franklin, Bryony Dean & Chana, Prem & Cesarelli, Mario & Stanton, Neville A. & Sevdalis, Nick, 2018. "Expanding healthcare failure mode and effect analysis: A composite proactive risk analysis approach," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 117-126.
    6. Lee, Sang Hun & Lee, Seung Jun & Shin, Sung Min & Lee, Eun-chan & Kang, Hyun Gook, 2020. "Exhaustive testing of safety-critical software for reactor protection system," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    7. Lee, Sang Hun & Kim, Hee Eun & Son, Kwang Seop & Shin, Sung Min & Lee, Seung Jun & Kang, Hyun Gook, 2015. "Reliability modeling of safety-critical network communication in a digitalized nuclear power plant," Reliability Engineering and System Safety, Elsevier, vol. 144(C), pages 285-295.
    8. Porthin, Markus & Liinasuo, Marja & Kling, Terhi, 2020. "Effects of digitalization of nuclear power plant control rooms on human reliability analysis – A review," Reliability Engineering and System Safety, Elsevier, vol. 194(C).
    9. Zarei, Esmaeil & Khan, Faisal & Abbassi, Rouzbeh, 2021. "Importance of human reliability in process operation: A critical analysis," Reliability Engineering and System Safety, Elsevier, vol. 211(C).
    10. Rokseth, Børge & Utne, Ingrid Bouwer & Vinnem, Jan Erik, 2018. "Deriving verification objectives and scenarios for maritime systems using the systems-theoretic process analysis," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 18-31.
    11. Shin, Sung-Min & Lee, Sang Hun & Shin, Seung Ki & Jang, Inseok & Park, Jinkyun, 2021. "STPA-Based Hazard and Importance Analysis on NPP Safety I&C Systems Focusing on Human–System Interactions," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
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