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Study on the Classification of Performance Shaping Factors in Digital Control System of Nuclear Power Plants

In: The 19th International Conference on Industrial Engineering and Engineering Management

Author

Listed:
  • Peng-cheng Li

    (University of South China
    South China University of Technology)

  • Li Zhang

    (University of South China
    Hunan Institute of Technology)

  • Guo-hua Chen

    (South China University of Technology)

  • Li-cao Dai

    (University of South China)

  • Ming Zhao

    (University of South China)

Abstract

In order to identify the performance shaping factors (PSFs) which influencing operator’s reliability in digital control system of nuclear power plants (NPPs), the comparative analysis of the representative contextual characteristics between traditional analog control system and digital control system is carried out by means of literature research, field observation and interviews in this paper, and identify the typical PSFs in terms of technical system, human–computer interface, procedure system, task, and team communication and cooperation. The classification of PSFs has been collected from existing PSF taxonomies of human reliability analysis (HRA), human error analysis (HEA), and organizational factors classification and performance evaluation methods, and based on the established classification criterion and classification framework (the conceptual causal model of human error), the relative comprehensive classification system of PSFs is built to provide the reference to HEA and HRA in digital control systems of NPPs.

Suggested Citation

  • Peng-cheng Li & Li Zhang & Guo-hua Chen & Li-cao Dai & Ming Zhao, 2013. "Study on the Classification of Performance Shaping Factors in Digital Control System of Nuclear Power Plants," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), The 19th International Conference on Industrial Engineering and Engineering Management, edition 127, chapter 0, pages 909-918, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-38433-2_96
    DOI: 10.1007/978-3-642-38433-2_96
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