[Zuo, Guimei; Chen, Jianhua; Dai, Licao] Univ South China, Human Factor Inst, Hengyang, Hunan, Peoples R China.
通讯机构：
[Dai, Licao] U
Univ South China, Human Factor Inst, Hengyang, Hunan, Peoples R China.
语种：
英文
关键词：
Error of omission (EOM);Human reliability analysis (HRA);Probabilistic safety assessment (PSA);Randomness
期刊：
Advances in Intelligent Systems and Computing
ISSN：
2194-5357
年：
2019
卷：
778
页码：
319-325
会议名称：
9th International Conference on Applied Human Factors and Ergonomics and the Affiliated Conferences (AHFE) / 2nd International Conference on Human Error, Reliability, Resilience, and Performance (HERRP)
会议论文集名称：
Advances in Intelligent Systems and Computing
会议时间：
JUL 21-25, 2018
会议地点：
Orlando, FL
会议主办单位：
[Chen, Jianhua;Zuo, Guimei;Dai, Licao] Univ South China, Human Factor Inst, Hengyang, Hunan, Peoples R China.
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [51674145, 71771084]; Postdoctoral Science Foundation of ChinaChina Postdoctoral Science Foundation [2016M600633]; Natural Science Foundation of Hunan ProvinceNatural Science Foundation of Hunan Province [2017JJ2222]; Humanities and Social Science Projects of Ministry of Education [11YJC630207]; Social Science Projects of Hunan Province [16YBA314]
机构署名：
本校为第一且通讯机构
院系归属：
管理学院
摘要：
Is EOM behavior a stochastic process? If it is, does this randomness come with certain conditions? Are there some environmental factors playing a role? Does the failure of EOMs can be expressed by a probability number? How should HRA consider EOM in a framework of PSA? Through the experiments on a DCS simulator of a nuclear power plant, the researchers tried to come up answers to the above issues. The research results show that the EOM behavior of nuclear power plant is random no considering the influence factors, while in the case of data groupings, EOM behavior is not completely random. Some...
