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Retrospective and predictive analysis of human operator performance with event report data of a nuclear reactor

Author

Listed:
  • Vipul Garg

    (Bhabha Atomic Research Centre
    Homi Bhabha National Institute)

  • Gopika Vinod

    (Bhabha Atomic Research Centre
    Homi Bhabha National Institute)

  • Vivek Kant

    (Indian Institute of Technology Kanpur)

Abstract

Human Reliability Analysis (HRA) quantifies the likelihood of human operator's erroneous actions towards evaluation of risk emanating from complex systems, in terms of Human Error Probability. The main contribution of this article is in terms of the interactions between retrospective and predictive analysis of operator performance using insights from the recommendations of developing third-generation methods. This article highlights, (1) retrospective analysis lays the foundation of a good predictive analysis for HRA, and reciprocally, (2) a good predictive HRA method should be a replication of a robust retrospective analysis. In order to demonstrate this idea, we present a tool—APPROP (Application for Predictive and Retrospective analysis of Operator Performance). APPROP is a web tool and repository, based on features of Cognitive Reliability and Error Analysis Method and existing methods such as Standardized Plant Analysis Risk HRA (SPAR-H), to help practitioners in HRA data processing through debriefing. Using APPROP, a retrospective analysis was performed on event report data (2006–2020) from an operating nuclear reactor. The retrospective analysis scheme of APPROP enables HRA data processing from multiple sources and facilitates its classification into appropriate categories of context, error modes and error causes. A preliminary quantitative analysis with event report data gathered through APPROP was done using Logistic Regression (LR), Artificial Neural Networks (ANN) and Support Vector Machines based approaches. Preliminary predictive analysis results demonstrate that the LR and ANN-based models have the potential to perform predictive analysis and emulate the retrospective analysis.

Suggested Citation

  • Vipul Garg & Gopika Vinod & Vivek Kant, 2024. "Retrospective and predictive analysis of human operator performance with event report data of a nuclear reactor," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(7), pages 3039-3059, July.
    • Handle: RePEc:spr:ijsaem:v:15:y:2024:i:7:d:10.1007_s13198-024-02313-y
    DOI: 10.1007/s13198-024-02313-y
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    References listed on IDEAS

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    1. James Chang, Y. & Bley, Dennis & Criscione, Lawrence & Kirwan, Barry & Mosleh, Ali & Madary, Todd & Nowell, Rodney & Richards, Robert & Roth, Emilie M. & Sieben, Scott & Zoulis, Antonios, 2014. "The SACADA database for human reliability and human performance," Reliability Engineering and System Safety, Elsevier, vol. 125(C), pages 117-133.
    2. Groth, Katrina M. & Smith, Reuel & Moradi, Ramin, 2019. "A hybrid algorithm for developing third generation HRA methods using simulator data, causal models, and cognitive science," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    3. Groth, Katrina M. & Smith, Curtis L. & Swiler, Laura P., 2014. "A Bayesian method for using simulator data to enhance human error probabilities assigned by existing HRA methods," Reliability Engineering and System Safety, Elsevier, vol. 128(C), pages 32-40.
    4. Park, Jooyoung & Boring, Ronald L. & Ulrich, Thomas A. & Lew, Roger & Lee, Sungheon & Park, Bumjun & Kim, Jonghyun, 2022. "A framework to collect human reliability analysis data for nuclear power plants using a simplified simulator and student operators," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    5. Park, J. & Chang, Y.J. & Kim, Y. & Choi, S. & Kim, S. & Jung, W., 2017. "The use of the SACADA taxonomy to analyze simulation records: Insights and suggestions," Reliability Engineering and System Safety, Elsevier, vol. 159(C), pages 174-183.
    6. Kim, Yochan & Park, Jinkyun & Jung, Wondea & Jang, Inseok & Hyun Seong, Poong, 2015. "A statistical approach to estimating effects of performance shaping factors on human error probabilities of soft controls," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 378-387.
    7. Liao, Huafei & Forester, John & Dang, Vinh N. & Bye, Andreas & Chang, Yung Hsien J. & Lois, Erasmia, 2019. "Assessment of HRA method predictions against operating crew performance: Part III: Conclusions and achievements," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    8. Fan, Shiqi & Yang, Zaili, 2023. "Towards objective human performance measurement for maritime safety: A new psychophysiological data-driven machine learning method," Reliability Engineering and System Safety, Elsevier, vol. 233(C).
    9. Kim, Yochan & Park, Jinkyun & Jung, Wondea & Choi, Sun Yeong & Kim, Seunghwan, 2018. "Estimating the quantitative relation between PSFs and HEPs from full-scope simulator data," Reliability Engineering and System Safety, Elsevier, vol. 173(C), pages 12-22.
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