The theoretical basis, application methods, analysis cases and application summary of IDHEAS-ECA(Integrated Human Event Analysis System for Event and Condition Assessment) is carried out in this paper. IDHEAS-ECA method combines qualitative and quantitative analyses to evaluate the Human Error Probability (HEP) from multiple perspectives, including cognitive activities, task complexity, environmental condition, task process, personnel familiarity, teamwork and other aspects.By using IDHEAS-ECA method to analyze severe accident scenario, the application of IDHEAS-ECA method in the field of nuclear power engineering is explored. Using this method, the reliability factors that can cause influence to the human reliability in various incident of nuclear power plants can be analyzed more comprehensively, and the objectivity and accuracy of analysis can be improved. Future trends for this method include integration with other safety analysis approaches and standardized applications, and enhancing its scientific rigor and applicability.

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Study and Application of IDHEAS-ECA Reliability Analysis Method for Nuclear Power Plant

  • Can Zhou,
  • Jiemei Zhang,
  • Xingcan Yang,
  • Zhongping Yin,
  • Peng Liu

摘要

The theoretical basis, application methods, analysis cases and application summary of IDHEAS-ECA(Integrated Human Event Analysis System for Event and Condition Assessment) is carried out in this paper. IDHEAS-ECA method combines qualitative and quantitative analyses to evaluate the Human Error Probability (HEP) from multiple perspectives, including cognitive activities, task complexity, environmental condition, task process, personnel familiarity, teamwork and other aspects.By using IDHEAS-ECA method to analyze severe accident scenario, the application of IDHEAS-ECA method in the field of nuclear power engineering is explored. Using this method, the reliability factors that can cause influence to the human reliability in various incident of nuclear power plants can be analyzed more comprehensively, and the objectivity and accuracy of analysis can be improved. Future trends for this method include integration with other safety analysis approaches and standardized applications, and enhancing its scientific rigor and applicability.