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Considerations for generating meaningful HRA data: Lessons learned from HuREX data collection
김요찬 한국원자력학회 2020 Nuclear Engineering and Technology Vol.52 No.8
To enhance the credibility of human reliability analysis, various kinds of data have been recently collected and analyzed. Although it is obvious that the quality of data is critical, the practices or considerations for securing data quality have not been sufficiently discussed. In this work, based on the experience of the recent human reliability data extraction projects, which produced more than fifty thousand data-points, we derive a number of issues to be considered for generating meaningful data. As a result, thirteen considerations are presented here as pertaining to the four different data extraction activities: preparation, collection, analysis, and application. Although the lessons were acquired from a single kind of data collection framework, it is believed that these results will guide researchers to consider important issues in the process of extracting data
SACADA and HuREX part 2: The use of SACADA and HuREX data to estimate human error probabilities
김요찬,Yung Hsien James Chan,박진균,Lawrence Criscione 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.3
As a part of probabilistic risk (or safety) assessment (PRA or PSA) of nuclear power plants (NPPs), theprimary role of human reliability analysis (HRA) is to provide credible estimations of the human errorprobabilities (HEPs) of safety-critical tasks. In this regard, it is vital to provide credible HEPs based onfirm technical underpinnings including (but not limited to): (1) how to collect HRA data from availablesources of information, and (2) how to inform HRA practitioners with the collected HRA data. Because ofthese necessities, the U.S. Nuclear Regulatory Commission and the Korea Atomic Energy ResearchInstitute independently developed two dedicated HRA data collection systems, SACADA (ScenarioAuthoring, Characterization, And Debriefing Application) and HuREX (Human Reliability data EXtraction),respectively. These systems provide unique frameworks that can be used to secure HRA data fromfull-scope training simulators of NPPs (i.e., simulator data). In order to investigate the applicability ofthese two systems, two papers have been prepared with distinct purposes. The first paper, entitled“SACADA and HuREX: Part 1. The Use of SACADA and HuREX Systems to Collect Human Reliability Data”,deals with technical issues pertaining to the collection of HRA data. This second paper explains how thetwo systems are able to inform HRA practitioners. To this end, the process of estimating HEPs isdemonstrated based on feed-and-bleed operations using HRA data from the two systems.
김요찬,윤완철,장병호,조성우,이슬기,이동윤,박상연,김종철,박귀홍,정성택 대한인간공학회 2009 대한인간공학회 학술대회논문집 Vol.2009 No.11
다양한 서비스 로봇의 등장과 더불어 제시된 대다수의 네트워크 기반 로봇들은 바디에 디스플레이를 장착하여 교육 및 엔터테인먼트 콘텐트를 제공하는 형태를 띠고 있다. 이러한 로봇들의 개발에 있어 제시되어야 할 사용성 평가에는 기존의 사용성 평가 기준이 변형되어 적용될 필요가 있다. 본 연구에서는 닐슨의 휴리스틱 평가 기준과 함께 로봇 평가 기준을 정립하고 네트워크 기반 로봇의 사용성 평가에 적용하여 개선점을 도출하였다.
HAZARD ANALYSIS OF TYPHOON-RELATED EXTERNAL EVENTS USING EXTREME VALUE THEORY
김요찬,장승철,임태진 한국원자력학회 2015 Nuclear Engineering and Technology Vol.47 No.1
Background: After the Fukushima accident, the importance of hazard analysis for extremeexternal events was raised. Methods: To analyze typhoon-induced hazards, which are one of the significant disasters ofEast Asian countries, a statistical analysis using the extreme value theory, which is amethod for estimating the annual exceedance frequency of a rare event, was conducted foran estimation of the occurrence intervals or hazard levels. For the four meteorologicalvariables, maximum wind speed, instantaneous wind speed, hourly precipitation, anddaily precipitation, the parameters of the predictive extreme value theory models wereestimated. Results: The 100-year return levels for each variable were predicted using the developedmodels and compared with previously reported values. It was also found that there existsignificant long-term climate changes of wind speed and precipitation. Conclusion: A fragility analysis should be conducted to ensure the safety levels of a nuclearpower plant for high levels of wind speed and precipitation, which exceed the results of aprevious analysis
SACADA and HuREX: Part 1. the use of SACADA and HuREX systems to collect human reliability data
Yung Hsien James Chang,김요찬,박진균,Lawrence Criscione 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.5
As a part of probabilistic risk (or safety) assessment (PRA or PSA) of nuclear power plants (NPPs), theprimary role of human reliability analysis (HRA) is to provide credible estimations of the human errorprobabilities (HEPs) of safety-critical tasks. Accordingly, HRA community has emphasized the accumulation of HRA data to support HRA practitioners for many decades. To this end, it is critical to resolvepractical problems including (but not limited to): (1) how to collect HRA data from available informationsources, and (2) how to inform HRA practitioners with the collected HRA data. In this regard, the U.S. Nuclear Regulatory Commission (NRC) and Korea Atomic Energy Research Institute (KAERI) independently initiated two large projects to accumulate HRA data by using full-scale simulators (i.e., simulatordata). In terms of resolving the first practical problem, the NRC and KAERI developed two dedicated HRAdata collection systems, SACADA (Scenario Authoring, Characterization, And Debriefing Application) andHuREX (Human Reliability data EXtraction), respectively. In addition, to inform HRA practitioners, theNRC and KAERI proposed several ideas to extract useful information from simulator data. This paper isthe first of two papers to discuss the technical underpinnings of the development of the SACADA andHuREX systems