کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5475042 1521087 2017 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Study on operator's SA reliability in digital NPPs. Part 2: Data-driven causality model of SA
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی مهندسی انرژی و فناوری های برق
پیش نمایش صفحه اول مقاله
Study on operator's SA reliability in digital NPPs. Part 2: Data-driven causality model of SA
چکیده انگلیسی
This paper tries to overcome shortcomings of the traditional assessment method of situation awareness (SA) reliability and build more robust causality model of SA. Firstly, the organization-oriented analysis framework or method of SA error was used to analyze human factor events in nuclear power plants (NPPs) and the data of 132 samples were obtained. Then, the correlation analysis method is used to identify the correlation relationships between factors influencing SA and next factor analysis method is used to identify the scenes triggering SA error. It includes: operator's mental level, operator's work attitude, stress level and system situation display level. Finally, based on the study of the results highlighted above, a data-driven SA causality model is established. These results shows that, the data-based SA causality model can identify the scenes triggering SA error, and it is very useful to improve the accuracy of quantitative assessment of SA reliability because of considering the causality relationships of performance shaping factors (PSFs).
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Annals of Nuclear Energy - Volume 109, November 2017, Pages 185-191
نویسندگان
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