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Fuzzy‐Logic‐Based Safety Verification Framework for Nuclear Power Plants

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  • Achint Rastogi
  • Hossam A. Gabbar

Abstract

This article presents a practical implementation of a safety verification framework for nuclear power plants (NPPs) based on fuzzy logic where hazard scenarios are identified in view of safety and control limits in different plant process values. Risk is estimated quantitatively and compared with safety limits in real time so that safety verification can be achieved. Fuzzy logic is used to define safety rules that map hazard condition with required safety protection in view of risk estimate. Case studies are analyzed from NPP to realize the proposed real‐time safety verification framework. An automated system is developed to demonstrate the safety limit for different hazard scenarios.

Suggested Citation

  • Achint Rastogi & Hossam A. Gabbar, 2013. "Fuzzy‐Logic‐Based Safety Verification Framework for Nuclear Power Plants," Risk Analysis, John Wiley & Sons, vol. 33(6), pages 1128-1145, June.
    • Handle: RePEc:wly:riskan:v:33:y:2013:i:6:p:1128-1145
    DOI: 10.1111/j.1539-6924.2012.01899.x
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    Cited by:

    1. Tzu Yang Loh & Mario P. Brito & Neil Bose & Jingjing Xu & Kiril Tenekedjiev, 2020. "Fuzzy System Dynamics Risk Analysis (FuSDRA) of Autonomous Underwater Vehicle Operations in the Antarctic," Risk Analysis, John Wiley & Sons, vol. 40(4), pages 818-841, April.
    2. J. S. Busby & B. Green & D. Hutchison, 2017. "Analysis of Affordance, Time, and Adaptation in the Assessment of Industrial Control System Cybersecurity Risk," Risk Analysis, John Wiley & Sons, vol. 37(7), pages 1298-1314, July.

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