지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2014.5
- 수록면
- 360 - 365 (6page)
이용수
초록· 키워드
오류제보하기
Because various kinds of human failure events (HFEs) are frequently included in the sequence of the safety-significant events, a human reliability analysis (HRA), which systemically analyzes the sources and consequences of human errors and estimates human error probabilities (HEPs), has been performed in many fields. However, many reports have indicated a lack of empirical data for the development or validation of HRA methods, because: (1) they largely depend on expert judgments in determining the HEPs with the associated effects of PSFs, and (2) each HRA method use its own PSFs that could not be adopted by others. This paper reviews recent researches of data-based HRA approaches to systematically collect empirical data and assess HEPs from them for overcoming this problem. To this end, the conventional HRA methods were briefly introduced first, the current databases then collected for supporting the HRA of nuclear power plants were described by explaining the characteristics of data sources. Some applications to the existing HRA methods and development of new methods based on the developed database were introduced. Several articles discussing how to estimate HEPs by modeling the relations between PSFs and the HEPs were also addressed. In addition, the future issues about the databases such as the integration of the collected data and subjectivity of evaluating PSFs were also discussed.
목차
ABSTRACT
1. Introduction
2. Human Reliability Analysis
3. Database for Supporting HRA
4. Applications to HRA Methods
5. Relation between PSFs and HEPs
6. Discussion and Conclusion
References
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UCI(KEPA) : I410-ECN-0101-2016-530-002490393