期刊论文

Li, Peng-cheng

英文

Annals of Nuclear Energy

0306-4549

2017

109

82-91

10.1016/j.anucene.2017.05.019

The financial support by Natural Science Foundation of China (71371070, 71071051, 71301069, 51674145) and Scientific Research Program supported by Lingdong Nuclear Power Plant (KR70543) and Innovation Ability Construction Projects based on the new Industry-Academy-Research Cooperation of Hunan Province (2012GK4101) and Construct Program of the Key Discipline (1201) in Hunan Province (Management Science and Engineering), Postdoctoral Science Foundation of China (2016M600633), Natural Science Foundation of Hunan Province (2017-260), Humanities and Social Science Projects of Ministry of Education(11YJC630207), Program of China Scholarship Council (CSC) and Social Science Projects of Hunan Province (16YBA314) are gratefully acknowledged. We would like to express gratitude to the staff in two Chinese nuclear power plants (Qinshan Phase 3 and Lingdong) for the interviews and investigations which facilitate the research included in this paper. The anonymous reviewers and the editor of this paper are also gratefully acknowledged for their constructive comments and suggestions.

本校为第一且通讯机构

Situational awareness (SA) is a key element impacting operators’ and decision-making and performance in nuclear power plants. SA reliability is an important part of human reliability analysis. In order to quantitatively assess SA reliability, the Bayesian network model of operators’ SA reliability analysis in digital main control rooms is built by data analysis. Furthermore, a quantitative assessment procedure of SA reliability is established, and the conditional probability distribution of influencing factors are more objectively determined ...