• 한국가스학회지
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• 제21권5호
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• pp.89-94
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• 2017

인간의 외부 인지 감각을 인공적인 기술로 자극하여 실제와 유사한 체험을 제공하는 가상현실(VR, Virtual Reality) 기술은 실 환경에서 제한되는 훈련 환경을 제공하는 대안으로 산업 분야 안전사고 예방 또는 조치에 대한 훈련시스템 구현 핵심 기술로 응용이 시도되고 있다. 하지만 3D 모델링과 소프트웨어 코딩으로 구현되는 시각체험 VR 환경 즉, 훈련용 콘텐츠는 개발에 많은 자원이 요구되어 훈련시스템 구축에 어려움을 주고 있다. 본 연구에서는 VR 기반 훈련용 콘텐츠 구현에 있어 동적 가시화 컴포넌트(VRDC, VR based Dynamic visualization Component)를 활용하는 방안을 제시하며 플랜트 안전훈련 시스템에 이를 적용함으로써 실용성을 검증하였다.

• 정보보호학회논문지
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• 제29권4호
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• pp.867-875
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• 2019

원자력을 포함한 산업제어시스템에 대한 사이버보안 사건이 증가함에 따라 기술적 보안 조치와 더불어 사이버보안교육 훈련 및 사이버 비상사건 대응 훈련이 요구되고 있다. 대상 설비를 운영 관리하는 담당자들에게 효과적인 사이버보안 인식 및 교육 훈련을 위해서는 센서 수준에서부터 발전소 운영 상태까지 사이버공격으로 인한 영향 분석이 가능한 훈련용 시스템이 요구된다. 이에 본 논문에서는 원자력 운영 상태를 모사하는 발전소 시뮬레이션과 특정 계통의 시뮬레이션 및 물리장치를 포함하는 원자력발전소 사이버보안 훈련용 HIL 시스템을 개발하였다. 이를 통해 계통담당자 및 사이버보안조직을 대상으로 하는 기술적 훈련, 사이버보안 조직 및 비상사건대응 조직을 대상으로 하는 특화된 사이버보안 훈련을 지원하고자 한다.

• International Journal of Safety
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• 제3권1호
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• pp.32-37
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• 2004

Recently KAERI has developed the severe accident management guidance to establish Korea standard severe accident management system. On the other hand the PC-based severe accident training simulator SATS has been developed, and the MELCOR code is used as the simulation engine. SATS graphically displays and simulates the severe accidents with interactive user commands. The control capability of SATS could make a severe accident training course more interesting and effective. In this paper the development and functions of the electrical hypertext guidance module HyperKAMG and the SATS-HyperKAMG linkage system for the severe accident management are described.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2001년도 춘계학술대회논문집C
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• pp.213-218
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• 2001

VR (Virtual reality) technologies have given engineers the ability to design, test, and evaluate engineering systems in a virtual environment. The virtual plant is the highlight of the application of the VR technology to plant engineering. Plant design, maintenance, control, management, operation are integrated in the virtual plant. The VR monitoring system including the concept of the virtual plant is developed to replace a current control room that has number of gages and warning lamps in two-dimensional panels which shows the operating status of a plant. The operating status of the plant is displayed in the VR monitoring system through the realistic computer graphics. Sophisticated, realistic and prompt control becomes possible. The VR monitoring system consists of advanced visualization, walk-through simulation and navigation. In the virtual environment, a user can navigate and interact with each component of a plant. In addition, the user can access the information by just clicking interesting component. The VR monitoring system is operated with various modules, such as (1) virtual plant constructed with Graphic Management System (GMS), (2) Touch & Tell System, and (3) Equipment DB System of Part. In order to confirm the usefulness of the VR monitoring system, a pilot gas plant which is currently being used for plant operator training is taken as application. The end of the paper gives an outlook on the future work and a brief conclusion.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1990년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 26-27 Oct. 1990
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• pp.131-134
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• 1990

A back-propagation neural network based system for a fault diagnosis of a chemical process is developed. Training data are acquired from FCD(Fault-Consequence Digraph) model. To improve the resolution of a diagnosis, the system is decomposed into 6 subsystems and the training data are composed of 0, 1 and intermediate values. The feasibility of this approach is tested through case studies in a real plant, a naphtha furnace, which has been used to develop a knowledge based expert system, OASYS (Operation Aiding expert SYStem).

• 한국가스학회지
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• 제21권6호
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• pp.46-51
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• 2017

도시가스 지역 정압기의 안전훈련을 가상현실을 이용하여 수행할 수 있도록 시스템을 구성하였다. 이 시스템을 이용해서 일반인들을 대상으로 설문조사를 진행하였고 시스템에서 조작 컨트롤러가 사용자에게 많은 부분 영향을 끼치는 것임을 알 수 있었다. 이에 따라 기존의 조이스틱을 통한 도시가스 정압기 안전훈련 시스템을 오큘러스 터치를 이용해서 훈련을 수행할 수 있도록 재구성하여 같은 설문조사를 진행하였다. 이 두 조사 결과를 통해서 가상현실을 이용한 안전훈련 시스템에서 조작 컨트롤러의 중요성을 확인 할 수 있었다.

• Journal of Electrical Engineering and Technology
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• 제11권2호
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• pp.265-273
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• 2016

A water wall system is one of the most important components of a boiler in a thermal power plant, and it is a nonlinear Multi-Input and Multi-Output (MIMO) system, with 6 inputs and 3 outputs. Three models are developed and comp for the controller design, including a linear model, a multilayer feed-forward neural network (MFNN) model and an Echo State Network (ESN) model. First, the linear model is developed by linearizing a given nonlinear model and is analyzed as a function of the operating point. Second, the MFNN and the ESN are developed by using training data from the nonlinear model. The three models are validated using Matlab with nonlinear input-output data that was not used during training.

• Nuclear Engineering and Technology
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• 제53권3호
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• pp.842-850
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• 2021

Real Time Simulation (RTS) has long been used in the nuclear power industry for operator training and engineering purposes. And, Online Simulation (OLS) is based on RTS and with connection to the plant information system to acquire the measurement data in real time for calibrating the simulation models and following plant operation, for the purposes of analyzing plant events and providing indicative signs of malfunctioning. An OLS system has been developed to support PWR operations for CPR1000 plants. The OLS system provides graphical user interface (GUI) for operators to monitor critical plant operations for preventing faulty operation or analyzing plant events. Functionalities of the OLS system are depicted through the maneuvering of the GUI for various OLS functional modules in the system.

• 대한인간공학회지
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• 제32권1호
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• pp.9-16
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• 2013

Objective: The aim of this study is to investigate a trend of human error types observed in a series of verification and validation experiments for an Advanced Control Room(ACR) equipped with Lager Display Panel(LDP), Work Station Flat Panel Display(WS FPD), list type Alarm System(AS), Soft Control(SC) and Computerized Procedure System(CPS). Background: Operator behaviors in a fully computerized control room are quite different from those in a traditional hard-wired control room. Operators in an ACR all together monitor plant status and variables through their own interface system such as LDP and WS FPD, are notified of abnormal plant status through their own list type AS, control the plant through their own SC, and follow the structured procedure through their own CPS whereas operators in a traditional control room only separately do their duty directed by their supervisor. Especially the secondary task such as manipulating the user interface of ACR can be an extra burden to all the operators including the supervisor. Method: The Reason's human error classification method was applied to operators' behavioral data collected from a series of verification and validation experiments where operators showed their plant operational behaviors under a couple of harsh scenarios using the ACR simulator. Results: As operators accustomed to the new ACR system, knowledge or rule based mistakes appearing frequently in the early series of experiments decreased drastically in the latest stage of the series. Slip and lapse types of errors were observed throughout the series of experiments. Conclusion: Education and training can be one of the most important factors for the operators accustomed to the traditional control room to be adapted to the new system and to run the ACR successfully. Application: The results of this study implied that knowledge or rule based mistakes can be reduced by training and education but that lapse type errors might be reduced only through innovative improvement in human-system interface design or teamwork culture design including a new leadership style suitable for ACR.

• 한국에너지공학회:학술대회논문집
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• 한국에너지공학회 2000년도 춘계 학술발표회 논문집
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• pp.137-142
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• 2000