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The ETH Zurich curated nuclear events database: Layout, event classification, and analysis of contributing factors

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  • Ayoub, Ali
  • Stankovski, Andrej
  • Kröger, Wolfgang
  • Sornette, Didier

Abstract

We present an open database of nuclear events focused on worldwide safety significance with potentials for precursors. Explaining our events collection method and classification approach, each of the 1250 events in the database has been subjugated to coherent breakdown of features such as significance, origin, operating conditions, failure chains, contributing factors, severity of failures, and others. The events have been analyzed by experts and researchers in nuclear technology and safety, and are accessible using a custom-made user interface, making the database the largest open, comprehensive, curated, and user-friendly database in the world. We find that the majority of events (52%) have originated outside the nuclear island compared to within (48%). The most commonly affected components are related to the emergency power and emergency core cooling systems (ECCS). Design residuals are the major contributor to systems’ unreliability, with an occurrence frequency of more than 20%. Finally, the importance of vigilance by the plant staff and regulators is highlighted, as the contribution of human/organizational factors is found to be similar to that of technical factors.

Suggested Citation

  • Ayoub, Ali & Stankovski, Andrej & Kröger, Wolfgang & Sornette, Didier, 2021. "The ETH Zurich curated nuclear events database: Layout, event classification, and analysis of contributing factors," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    • Handle: RePEc:eee:reensy:v:213:y:2021:i:c:s0951832021003069
    DOI: 10.1016/j.ress.2021.107781
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    References listed on IDEAS

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    1. Preischl, Wolfgang & Hellmich, Mario, 2013. "Human error probabilities from operational experience of German nuclear power plants," Reliability Engineering and System Safety, Elsevier, vol. 109(C), pages 150-159.
    2. Hauge, S. & Hokstad, P. & HÃ¥brekke, S. & Lundteigen, M.A., 2016. "Common cause failures in safety-instrumented systems: Using field experience from the petroleum industry," Reliability Engineering and System Safety, Elsevier, vol. 151(C), pages 34-45.
    3. Preischl, Wolfgang & Hellmich, Mario, 2016. "Human error probabilities from operational experience of German nuclear power plants, Part II," Reliability Engineering and System Safety, Elsevier, vol. 148(C), pages 44-56.
    4. Park, Jinkyun & Kim, Yochan & Jung, Wondea, 2018. "Calculating nominal human error probabilities from the operation experience of domestic nuclear power plants," Reliability Engineering and System Safety, Elsevier, vol. 170(C), pages 215-225.
    5. Ayoub, Ali & Stankovski, Andrej & Kröger, Wolfgang & Sornette, Didier, 2021. "Precursors and startling lessons: Statistical analysis of 1250 events with safety significance from the civil nuclear sector," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
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    1. Ayoub, Ali & Stankovski, Andrej & Kröger, Wolfgang & Sornette, Didier, 2021. "Precursors and startling lessons: Statistical analysis of 1250 events with safety significance from the civil nuclear sector," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    2. Liu, Jiaxin & Yu, Deping & Yang, Taibo & Liu, Caixue & Wang, Guangjin & Liu, Xiaoming, 2023. "Discovering the causes for the change of the vibration characteristics of the core support barrel in PWR nuclear power plants: A combined investigation based on ex-core neutron noise analysis and nume," Reliability Engineering and System Safety, Elsevier, vol. 234(C).

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