期刊
RELIABILITY ENGINEERING & SYSTEM SAFETY
卷 163, 期 -, 页码 1-13出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.ress.2017.01.022
关键词
Human reliability analysis; Unsafe act; Human error probability; Simulator data
资金
- Nuclear Research & Development Program of the National Research Foundation of Korea grant - Korean government, Ministry of Science, ICT & Future Planning [2012M2A8A4025991]
Because it has been indicated that empirical data supporting the estimates used in human reliability analysis (HRA) is insufficient, several databases have been constructed recently. To generate quantitative estimates from human reliability data, it is important to appropriately sort the erroneous behaviors found in the reliability data. Therefore, this paper proposes a scheme to classify the erroneous behaviors identified by the HuREX (Human Reliability data Extraction) framework through a review of the relevant literature. A case study of the human error probability (HEP) calculations is conducted to verify that the proposed scheme can be successfully implemented for the categorization of the erroneous behaviors and to assess whether the scheme is useful for the HEP quantification purposes. Although continuously accumulating and analyzing simulator data is desirable to secure more reliable HEPs, the resulting HEPs were insightful in several important ways with regard to human reliability in off-normal conditions. From the findings of the literature review and the case study, the potential and limitations of the proposed method are discussed.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据