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Methodology for dynamic reliability assessment of team situation awareness of digital nuclear power plants

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成果类型:
期刊论文
作者:
Liu, Yahua;Jin, Xiao;Luo, Zhuhua;Dai, Licao;Liu, Zhen;...
通讯作者:
Pengcheng Li
作者机构:
[Luo, Zhuhua; Li, Pengcheng; Liu, Yahua; Dai, Licao] Univ South China, Sch Resources Environm & Safety Engn, Hengyang 421001, Hunan, Peoples R China.
[Jin, Xiao; Luo, Zhuhua; Li, Pengcheng; Liu, Yahua; Liu, Zhen; Dai, Licao] Univ South China, Human Factor Inst, Hengyang 421001, Hunan, Peoples R China.
通讯机构:
[Pengcheng Li] S
School of Resources, Environment and Safety Engineering, University of South China, Hengyang 421001, Hunan, People's Republic of China<&wdkj&>Human Factor Institute, University of South China, Hengyang 421001, Hunan, People's Republic of China
语种:
英文
关键词:
Team situation awareness;Human reliability analysis;Dynamic Bayesian network;Digital nuclear power plants
期刊:
Progress in Nuclear Energy
ISSN:
0149-1970
年:
2022
卷:
144
页码:
104086
基金类别:
National Natural Science Foundation of China [71301069, 51674145]; Natural Science Foundation of Hunan Province [2017JJ2222, 2021JJ30583]; Special Fund for Popular Science of Hunan Province [2020ZK4031]
机构署名:
本校为第一机构
院系归属:
管理学院
摘要:
Team situation awareness (TSA) reliability is an important factor for team reliability. Moreover, situation awareness (SA) is a prominent problem in digital nuclear power plants (NPPs). Currently, since there is no suitable method to dynamically assess TSA reliability, we constructed a dynamical assessment method of TSA reliability based on a dynamic Bayesian network (DBN) to evaluate TSA reliability. First of all, a TSA causal concept model through qualitative analysis, expert group discussion and sample data analysis. On this basis, the quantitative assessment method of TSA reliability was c...

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