4.5 Article

A new organization-oriented technique of human error analysis in digital NPPs: Model and classification framework

期刊

ANNALS OF NUCLEAR ENERGY
卷 120, 期 -, 页码 48-61

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.anucene.2018.05.021

关键词

Human error analysis; Organizational root cause; Human errors; Performance shaping factors; Digital nuclear power plants

资金

  1. National Natural Science Foundation of China [71371070, 71301069, 51674145, 71501068, 71771084]
  2. Lingdong Nuclear Power Plant [KR70543]
  3. Postdoctoral Science Foundation of China [2016M600633]
  4. Natural Science Foundation of Hunan Province [2017JJ2222]
  5. Humanities and Social Science Projects of Ministry of Education [11YJC630207]
  6. Social Science Projects of Hunan Province [16YBA314]
  7. Science and Technology Program of Hunan Province, China [2016WK2006]
  8. Program of China Scholarship Council (CSC)

向作者/读者索取更多资源

In nuclear power plants (NPPs), man-machine interfaces (MMIs) are being transformed from conventional panels to computer workstations. Therefore, operators' behavior and performance shaping factors (PSFs) in modern main control rooms (MCRs) differs from what they do in a conventional one. New human error, error mechanism and PSFs etc. are introduced into digital control systems (DCS). The conventional human error analysis (HEA) methods cannot meet new requirements. So it is important to establish a new technique of HEA for investigating human failure events in digital NPPs. In order to investigate and analyze human errors and to trace organizational root causes in digital NPPs, an Organization oriented Technique of Human Error Analysis (OTHEA) was established. At this first paper, an organization-oriented conceptual model of HEA was established. Furthermore, the classification framework of HEA was developed based on the established conceptual model of HEA, including classification of human error, PSFs, psychological error mechanisms (PEMs), error recovery failures (ERFs) and safety barriers. It provides a theoretical guidance and practical support for the investigation of human failure events in digital NPPs. (C) 2018 Elsevier Ltd. All rights reserved.

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