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A framework for evaluating the effects of maintenance-related human errors in nuclear power plants

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  • Heo, Gyunyoung
  • Park, Jinkyun

Abstract

This paper proposes a framework for estimating the qualitative and quantitative consequences of human errors that occur during maintenance tasks involving the balance of plant in nuclear power plants. One of the remedies for unexpected reactor shutdowns may be a methodical tool designed to warn potential hazards arising from given maintenance tasks, taking into account human error modes in a proactive manner, in terms of risk and/or loss of electrical power. The entire framework that we established is composed of four components: (1) the human-error analyzer to connect possible failure modes resulting from human errors with other estimators, (2) the frequency estimator to quantify the occurrence of maintenance-related failure modes, (3) the risk estimator to determine minimal cutsets and to compute the variation of the core damage frequency using the fault tree analysis and turbine cycle simulation, and (4) the derate estimator to determine the electrical power loss under abnormal plant configurations caused by human error. The final result is characterized by a cost metric that can be used for decision-making possibly resulting in revisions of procedures, or task modifications. This paper also discusses case studies to illustrate the feasibility of the proposed framework.

Suggested Citation

  • Heo, Gyunyoung & Park, Jinkyun, 2010. "A framework for evaluating the effects of maintenance-related human errors in nuclear power plants," Reliability Engineering and System Safety, Elsevier, vol. 95(7), pages 797-805.
    • Handle: RePEc:eee:reensy:v:95:y:2010:i:7:p:797-805
    DOI: 10.1016/j.ress.2010.03.001
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    Cited by:

    1. Ding, Rui & Liu, Zehua & Xu, Jintao & Meng, Fanpeng & Sui, Yang & Men, Xinhong, 2021. "A novel approach for reliability assessment of residual heat removal system for HPR1000 based on failure mode and effect analysis, fault tree analysis, and fuzzy Bayesian network methods," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    2. Asadzadeh, S.M. & Azadeh, A., 2014. "An integrated systemic model for optimization of condition-based maintenance with human error," Reliability Engineering and System Safety, Elsevier, vol. 124(C), pages 117-131.
    3. 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).
    4. Jeong, Kwan Seong & Choi, Byung Seon & Moon, Jei Kwon & Hyun, Dong Jun & Lee, Jong Hwan & Kim, Ik June & Kang, Shin Young & Choi, Jong Won & Ahn, Sang Myeon & Lee, Jung Jun & Lee, Byung Sik, 2016. "The safety assessment system based on virtual networked environment for evaluation on the hazards from human errors during decommissioning of nuclear facilities," Reliability Engineering and System Safety, Elsevier, vol. 156(C), pages 34-39.
    5. Shin, Sung Min & Jeon, In Seop & Kang, Hyun Gook, 2015. "Surveillance test and monitoring strategy for the availability improvement of standby equipment using age-dependent model," Reliability Engineering and System Safety, Elsevier, vol. 135(C), pages 100-106.
    6. Maliszewski, Paul J. & Larson, Elisabeth K. & Perrings, Charles, 2012. "Environmental determinants of unscheduled residential outages in the electrical power distribution of Phoenix, Arizona," Reliability Engineering and System Safety, Elsevier, vol. 99(C), pages 161-171.

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