Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
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An algorithm for evaluating time-related human reliability using instrumentation cues and procedure cues

  • Received : 2020.01.27
  • Accepted : 2020.08.17
  • Published : 2021.02.25
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Abstract

The performance time of human operators has been recognized as a key aspect of human reliability in socio-complex systems, including nuclear industries. Because of the importance of the time factor, most existing human reliability assessment methods provide ways to quantify human error probabilities (HEPs) that are associated with the performance time. To quantify such kinds of HEPs, it is crucial to rationally predict the length of time required and time available and compare them. However, there have not been detailed guidelines that identify the critical cue presentation time or initial time of human performance, which is important to calculate the time information. In this paper, we introduce a time-related HEP calculation technique with a decision algorithm that determines the critical cue and its timing. The calculation process is presented with the application examples. It is expected that the proposed algorithm will reduce the variability in the time-related reliability assessment and strengthen the scientific evidence of the assessment process. The detailed description is provided in the technical report KAERI/TR-7607/2019.

Keywords

Acknowledgement

This work was supported by the Nuclear Research & Development Program of the National Research Foundation of Korea grant, funded by the Korean government, Ministry of Science, ICT & Future Planning (grant number 2017M2A8A4015291).

References

  1. J. Bell, J. Holroyd, Review of Human Reliability Assessment Methods, RR679 Research Report, Health and Safety Executive, 2009.
  2. A.D. Swain, H.E. Guttman, Handbook of Human Reliability Analysis with Emphasis on Nuclear Power Plant Applications, NUREG/CR-1278, US Nuclear Regulatory Commission, Washington, D.C., USA, 1983, pp. 12/1-12/23.
  3. A.D. Swain, Accident Sequence Evaluation Program Human Reliability Analysis Procedure, NUREG/CR-4772, US Nuclear Regulatory Commission, Washington, D.C., 1987.
  4. M. Barriere, D. Bley, S. Cooper, J. Forester, A. Kolaczkowski, W. Luckas, G. Parry, A. Ramey-Smith, C. Thompson, D. Whitehead, J. Wreathall, Technical Basis and Implementation Guidelines for a Technique for Human Event Analysis (ATHEANA), NUREG-1624, Rev. 1, U.S. Nuclear Regulatory Commission, Washington, D.C., 2000.
  5. D. Gertman, H. Blackman, J. Marble, J. Byers, C. Smith, The SPAR-H Human Reliability Analysis Method, NUREG/CR-6883, U.S. Nuclear Regulatory Commission, Washington, D.C., 2005.
  6. J. Kim, S.J. Lee, S.C. Jang, HuRECA: the Human Reliability Analysis Method for Computer-Based Advanced Control Rooms, KAERI/TR-4385, KAERI, 2011.
  7. A. Bye, K. Laumann, C. Taylor, M. Rasmussen, S. Oie, K. van de Merwe, The Petro-HRA Guideline, IFE/HR/E-2017/001, Institute for Energy Technology, Norway, 2017, pp. 167-184.
  8. G. Parry, B. Lydell, A. Spurgin, P. Moieni, A. Beare, An Approach to the Analysis of Operator Actions in PRA, EPRI TR-100259, Electric Power Research Institute (EPRI), 1992.
  9. Y. Kim, J. Kim, J. Park, S.Y. Choi, S. Kim, W. Jung, H.E. Kim, S.K. Shin, An HRA Method for Digital Main Control Rooms - Part I: Estimating the Failure Probability of Timely Performance, KAERI/TR-7607/2019, 2019.
  10. S. French, Human Reliability Analysis: A Review and Critique, Manchester Business School Working Paper, Number 589, 2009.
  11. W. Jung, D. Kang, J. Kim, Development of a Standard Method for Human Reliability Analysis of Nuclear Power Plant, KAERI/TR-2961/2005, 2005.
  12. J.C. Williams, HEART, a proposed method for assessing and reducing human error, in: Ninth Advances in Reliability Technology Symposium 1986, NEC, University of Bradford paper B3/R, 1986.
  13. E. Hollnagel, Cognitive Reliability and Error Analysis Method (CREAM), Elsevier, 1998, pp. 245-261.
  14. D.E. Embrey, P.C. Humphreys, E.A. Rosa, B. Kirwan, K. Rea, SLIM-MAUD, An Approach to Assessing Human Error Probabilities Using Structured Expert Judgment, NUREG/CR-3518, U.S. Nuclear Regulatory Commission, Washington, D.C., 1984.
  15. A.M. Whaley, D.L. Kelly, R.L. Boring, W.J. Galyean, SPAR-H Step-by-step Guidance, INL/EXT-10-18533 Rev. 2, Idaho National Laboratory, 2011.
  16. J. Park, W. Jung, Opera - a human performance database under simulated emergencies of nuclear power plants, Reliab. Eng. Syst. Saf. 92 (2007) 503-519. https://doi.org/10.1016/j.ress.2006.01.007
  17. Y. Kim, J. Choi, J. Park, W. Jung, S.J. Lee, Estimating diagnosis time of emergency situations in digitalized control rooms, in: Proceedings of the AHFE 2018 International Conference on Human Error, Reliability, Resilience, and Performance, 2018. July 21-25, Florida, USA.
  18. E. Lois, V.N. Dang, J. Forester, H. Broberg, S. Massaiu, M. Hildebrandt, P.O. Braarud, G. Parry, J. Julius, R. Boring, I. Mannisto, A. Bye, International HRA Empirical Study - Phase 1 Report, NUREG/IA-0216, vol. 1, U.S. Nuclear Regulatory Commission, Washington, D.C., 2009, 2/22-2/45.
  19. J. Park, Y. Kim, J.H. Kim, W. Jung, S.C. Jang, Estimating the response times of human operators working in the main control room of nuclear power plants based on the context of a seismic event - a case study, Ann. Nucl. Energy 85 (2015) 36-46. https://doi.org/10.1016/j.anucene.2015.03.053
  20. S. Cooper, A. Lindeman, EPRI/NRC-RES Fire Human Reliability Analysis Guidelines-Qualitative Analysis for Main Control Room Abandonment Scenarios, Supplement 1, NUREG-1921, Supplement 1, EPRI 3002009215, Washington, D.C., 2020, 7/1-7/34.
  21. M. Drouin, A. Gilbertson, G. Parry, J. Lehner, G. Martinez-Guridi, J. LaChance, T. Wheeler, Guidance on the Treatment of Uncertainties Associated with PRAs in Risk-Informed Decisionmaking, NUREG-1855, Revision 1, U.S. Nuclear Regulatory Commission, 2017.
  22. J. Cho, Y. Kim, J. Kim, J. Park, D.S. Kim, Realistic estimation of human error probability through Monte Carlo thermal-hydraulic simulation, Reliab. Eng. Syst. Saf. 193 (2020) 106673. https://doi.org/10.1016/j.ress.2019.106673