Abstract
To secure the quality of a human reliability analysis regarding digitalized control rooms, it is necessary to obtain the empirical data of human behaviors in a digitalized environment. As a preliminary study of human performance in digitalized control rooms, we empirically estimated the time for diagnosis of emergency situations. From the full-scope simulators for APR1400, equipped with fully digitalized interface systems, the diagnosis time of human operators were extracted. The operators should follow the procedure of standard post-trip action and identify the causes of the emergency situations using the diagnosis procedure. From the time records including the procedure progression time, the basic statistics of the diagnosis time were produced and the parametric distribution best fitted to the data was derived. From the findings, the operational characteristics of human operators in digitalized control rooms were discussed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Groth, K.M., Smith, C.L., Swiler, L.P.: A Bayesian method for using simulator data to enhance human error probabilities assigned by existing HRA methods. Reliab. Eng. Syst. Saf. 128, 32–40 (2014)
Kim, Y., Park, J., Jung, W., Jang, I., Seong, P.H.: A statistical approach to estimating effects of performance shaping factors on human error probabilities of soft controls. Reliab. Eng. Syst. Saf. 142, 378–387 (2015)
Hallbert, B., Boring, R., Gertman, D., Dudenhoeffer, D., Whaley, A., Marble, J., Joe, J., Lois, E.: Human Event Repository and Analysis (HERA) system-overview. NUREG/CR-6903 (2006)
Goodman, P.C., Di Palo, C. A.: Human factors information system: a tool to assess error related to human performance in US nuclear power plants. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, pp. 662−665 (1991)
James, C.Y., Bley, D., Criscione, L., Kirwan, B., Mosleh, A., Madary, T., Nowell, R., Richards, R., Roth, E.M., Sieben, S.: The SACADA database for human reliability and human performance. Reliab. Eng. Syst. Saf. 125, 117–133 (2014)
Jung, W., Park, J., Kim, S., Choi, S.Y., Kim, Y., Yang, J.: Handbook for Analysis of Human Error Probability Based on Simulator Data of Nuclear Power Plants. KAERI/TR- 6649/2016 (2016)
International Atomic Energy Agency: Accident Analysis for Nuclear Power Plants, Safety Reports Series No. 23, Vienna (2002)
Park, J., Jung, W.: A database for human performance under simulated emergencies of nuclear power plants. Nucl. Eng. Technol. 37(5), 491–502 (2005)
O’Hara, J., Higgins, J., Kramer, J.: Advanced information systems design: technical basis and human factors review guidance (NUREG/Cr-6633). Washington DC, US NRC (2000)
Kim, Y., Kim, J., Jang, S.C., Jung, W.: Empirical investigation of communication characteristics under a computer-based procedure in an advanced control room. J. Nucl. Sci. Technol. 49(10), 988–998 (2012)
R Core Team: R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org/ (2017)
Delignette-Muller, M.L., Dutang, C.: Fitdistrplus: an R package for fitting distributions. J. Stat. Softw. 64, 1–34 (2015)
Grosjean, P., Ibanez, F.: Pastecs: package for analysis of space-time ecological series. R package version 1.3–18 (2014)
Park, J., Jung, W.: OPERA – a human performance database under simulated emergencies of nuclear power plants. Reliab. Eng. Syst. Saf. 92, 503–519 (2007)
Parry, G., Lydell, B., Spurgin, A., Moieni, P., Beare, A.: An approach to the analysis of operator actions in PRA. EPRI TR-100259 Electr. Power Res. Inst. (EPRI) (1992)
Acknowledgments
This work was supported by the project of ‘Evaluation of human error probabilities and safety software reliabilities in digital environment (L16S092000),’ which was funded by the Central Research Institute (CRI) of the KHNP company.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Kim, Y., Choi, J., Park, J., Jung, W., Lee, S.J. (2019). Estimating Diagnosis Time of Emergency Situations in Digitalized Control Rooms. In: Boring, R. (eds) Advances in Human Error, Reliability, Resilience, and Performance. AHFE 2018. Advances in Intelligent Systems and Computing, vol 778. Springer, Cham. https://doi.org/10.1007/978-3-319-94391-6_28
Download citation
DOI: https://doi.org/10.1007/978-3-319-94391-6_28
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-94390-9
Online ISBN: 978-3-319-94391-6
eBook Packages: EngineeringEngineering (R0)