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An Approach to Analyze Diagnosis Errors in Advanced Main Control Room Operations Using the Cause-Based Decision Tree Method

Author

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  • Awwal Mohammed Arigi

    (Department of Nuclear Engineering, Chosun University, Gwangju 61452, Korea)

  • Gayoung Park

    (Department of Nuclear Engineering, Chosun University, Gwangju 61452, Korea)

  • Jonghyun Kim

    (Department of Nuclear Engineering, Chosun University, Gwangju 61452, Korea)

Abstract

Advancements in the nuclear industry have led to the development of fully digitized main control rooms (MCRs)—often termed advanced MCRs—for newly built nuclear power plants (NPPs). Diagnosis is a major part of the cognitive activity in NPP MCRs. Advanced MCRs are expected to improve the working environment and reduce human error, especially during the diagnosis of unexpected scenarios. However, with the introduction of new types of tasks and errors by digital MCRs, a new method to analyze the diagnosis errors in these new types of MCRs is required. Task analysis for operator diagnosis in an advanced MCR based on emergency operation was performed to determine the error modes. The cause-based decision tree (CBDT) method—originally developed for analog control rooms—was then revised to a modified CBDT (MCBDT) based on the error mode categorizations. This work examines the possible adoption of the MCBDT method for the evaluation of diagnosis errors in advanced MCRs. We have also provided examples of the application of the proposed method to some common human failure events in emergency operations. The results show that with some modifications of the CBDT method, the human reliability in advanced MCRs can be reasonably estimated.

Suggested Citation

  • Awwal Mohammed Arigi & Gayoung Park & Jonghyun Kim, 2021. "An Approach to Analyze Diagnosis Errors in Advanced Main Control Room Operations Using the Cause-Based Decision Tree Method," Energies, MDPI, vol. 14(13), pages 1-21, June.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:13:p:3832-:d:582228
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    References listed on IDEAS

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    1. 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.
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    Cited by:

    1. Gyunyoung Heo, 2022. "Advancements in Probabilistic Safety Assessment of Nuclear Energy for Sustainability," Energies, MDPI, vol. 15(2), pages 1-2, January.

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