DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Seong, Poong Hyun | - |
dc.contributor.advisor | 성풍현 | - |
dc.contributor.author | Kim, Ar Ryum | - |
dc.contributor.author | 김아름 | - |
dc.date.accessioned | 2018-05-23T19:36:19Z | - |
dc.date.available | 2018-05-23T19:36:19Z | - |
dc.date.issued | 2017 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=675778&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/241948 | - |
dc.description | 학위논문(박사) - 한국과학기술원 : 원자력및양자공학과, 2017.2,[v, 111 p. :] | - |
dc.description.abstract | The safe operation of nuclear power plants (NPPs) is substantially dependent on the performance of human operator. The occurrences of human errors have been considered to cause the serious problems in the plant systems. In this regard, in order to understand the nature of human errors and estimate the probabilities of them, various human reliability analysis (HRA) methods have been implemented. Recently, in HRA community, some significant issues have been raised. The first issue is the adoption of an advanced main control rooms (MCRs) in NPPs, and the second issue is the importance of human actions during the low power and shutdown (LPSD) operations. Even the behavioral characteristics of operators are significantly changed in both conditions, the existing HRA methods were developed for the conventional MCR and full power operation of NPPs. The aims of this study are to (1) develop an operators’ diagnosis error assessment method in the advanced MCR and (2) develop a PSFs’ weightings quantification method during LPSD operation. Basically, in this study, the processes were identical for both parts: (1) assessment of the human error probabilities (HEPs), (2) analysis of the performance shaping factors (PSFs), and (3) suggestion of the nominal HEPs. In addition, as data source, full-scope simulators of the advanced MCR and domestic operational experience during were utilized, respectively. As a result, in the case of the first part, the evaluation method of PSFs’ weightings, and the estimation method of diagnosis error probabilities in the advanced MCR were suggested. In the case of the second part, the evaluation method of PSFs’ weightings and database (DB) of the HEPs during the LPSD operations were provided. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | human error probabilities (HEPs) | - |
dc.subject | diagnosis error probability | - |
dc.subject | performance shaping factors (PSFs) | - |
dc.subject | human reliability analysis (HRA) | - |
dc.subject | advanced main control room (MCR) | - |
dc.subject | low power and shutdown (LPSD) operation | - |
dc.subject | 인적오류확률 | - |
dc.subject | 진단오류확률 | - |
dc.subject | 수행특성인자 | - |
dc.subject | 인간신뢰도분석 | - |
dc.subject | 신형주제어실 | - |
dc.subject | 정지/저출력운전 | - |
dc.title | Development of new methods for human reliability analysis | - |
dc.title.alternative | 원전 신형주제어실에서의 HRA 수행 시 운전원 진단오류확률 평가 방법론 및 정지/저출력 HRA 수행 시 PSF 평가 방법론 개발 | - |
dc.type | Thesis(Ph.D) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :원자력및양자공학과, | - |
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