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HuREX – A framework of HRA data collection from simulators in nuclear power plants

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  • Jung, Wondea
  • Park, Jinkyun
  • Kim, Yochan
  • Choi, Sun Yeong
  • Kim, Seunghwan

Abstract

The fundamental issue in reference to human reliability analysis (HRA) in a nuclear power plant is the lack of empirical data for human error probability (HEP) estimation, and lower level information of human performance that can be used to estimate HEPs. In an effort to resolve this issue, the Korea Atomic Energy Research Institute (KAERI) developed a framework, known as human reliability data extraction (HuREX), for data collection and analyses from a simulator to generate HRA data, such as HEPs, or for correlations between performance shaping factors (PSFs) and the associated HEPs. HuREX provides guidance on the identification of unsafe act (UA) and the processing of collected data. In addition, it allows us to analyze collected data based on the associated forms and taxonomy on generic task types and error modes. An application study was carried out using two sets of full-scope training simulator records to confirm the suitability of HuREX and to generate the HEPs of generic task types with respect to reference plants. As a result, 37 HEPs were successfully quantified for 21 generic task types.

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  • Jung, Wondea & Park, Jinkyun & Kim, Yochan & Choi, Sun Yeong & Kim, Seunghwan, 2020. "HuREX – A framework of HRA data collection from simulators in nuclear power plants," Reliability Engineering and System Safety, Elsevier, vol. 194(C).
    • Handle: RePEc:eee:reensy:v:194:y:2020:i:c:s0951832017309857
    DOI: 10.1016/j.ress.2018.07.036
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    References listed on IDEAS

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    Cited by:

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    2. 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).
    3. Park, Jinkyun, 2024. "A framework to determine the holistic multiplier of performance shaping factors in human reliability analysis – An explanatory study," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    4. Zhao, Yunfei & Smidts, Carol, 2021. "CMS-BN: A cognitive modeling and simulation environment for human performance assessment, part 2 — Application," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    5. Kim, Yochan & Choi, Sun Yeong & Park, Jinkyun & Kim, Jaewhan, 2022. "Empirical study on human error probability of procedure-extraneous behaviors," Reliability Engineering and System Safety, Elsevier, vol. 227(C).
    6. Greco, Salvatore F. & Podofillini, Luca & Dang, Vinh N., 2021. "A Bayesian model to treat within-category and crew-to-crew variability in simulator data for Human Reliability Analysis," Reliability Engineering and System Safety, Elsevier, vol. 206(C).
    7. Maturana, Marcos Coelho & Martins, Marcelo Ramos & Frutuoso e Melo, Paulo Fernando Ferreira, 2021. "Application of a quantitative human performance model to the operational procedure design of a fuel storage pool cooling system," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    8. Hu, Lunhu & Pan, Xing & Ding, Song & Zuo, Dujun & Kang, Rui, 2022. "A quantitative input for evaluating human error of visual Neglection: Prediction of Operator's detection time spent on perceiving critical visual signal," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    9. Jang, Inseok & Kim, Yochan & Park, Jinkyun, 2021. "Investigating the Effect of Task Complexity on the Occurrence of Human Errors observed in a Nuclear Power Plant Full-Scope Simulator," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    10. Zhao, Yunfei, 2022. "A Bayesian approach to comparing human reliability analysis methods using human performance data," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    11. Zhao, Yunfei & Smidts, Carol, 2021. "CMS-BN: A cognitive modeling and simulation environment for human performance assessment, part 1 — methodology," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    12. Podofillini, Luca & Reer, Bernhard & Dang, Vinh N., 2023. "A traceable process to develop Bayesian networks from scarce data and expert judgment: A human reliability analysis application," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    13. Podofillini, Luca & Reer, Bernhard & Dang, Vinh N., 2021. "Analysis of recent operational events involving inappropriate actions: influencing factors and root causes," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    14. Garg, Vipul & Vinod, Gopika & Prasad, Mahendra & Chattopadhyay, J. & Smith, Curtis & Kant, Vivek, 2023. "Human reliability analysis studies from simulator experiments using Bayesian inference," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    15. Kim, Yochan & Park, Jinkyun & Presley, Mary, 2021. "Selecting significant contextual factors and estimating their effects on operator reliability in computer-based control rooms," Reliability Engineering and System Safety, Elsevier, vol. 213(C).

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