최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기Nuclear engineering and technology : an international journal of the Korean Nuclear Society, v.50 no.4, 2018년, pp.542 - 552
Song, Mengchu (Graduate School of Natural Science and Technology, Okayama University) , Gofuku, Akio (Graduate School of Natural Science and Technology, Okayama University)
Operators face challenges to plan alternative countermeasures when no procedure exists to address the current plant state. A model-based approach is desired to aid operators in acquiring plant resources and deriving response plans. Multilevel flow modeling (MFM) is a functional modeling methodology ...
W.F. Stubler, J.M. O'Hara, J.C. Higgins, J. Kramer, Human Systems Interface and Plant Modernization Process: Technical Basis and Human Factors Review Guidance, NUREG/CR-6637, U.S. Nuclear Regulatory Commission, Washington, DC, 2000.
IAEA, Defence in Depth in Nuclear Safety, IAEA, Vienna, 1996.
IAEA, Implementation of Accident Management Programmes in Nuclear Power Plants - Safety Reports Series No. 32, IAEA, Vienna, 2004.
R.L. Boring, K.D. Thomas, T.A. Ulrich, R.T. Lew, Computerized operator support systems to aid decision making in nuclear power plants, Procedia Manuf. 3 (2015) 5261-5268.
R.J. Mumaw, D. Swatzler, E.M. Roth, W.A. Thomas, Cognitive Skill Training for Nuclear Power Plant Operational Decision Making, NUREG/CR-6126, U.S. Nuclear Regulatory Commission, Washington, DC, 1994.
M. Lind, M.N. Larsen, Planning support and the intentionality of dynamic environments, in: Expert. Technol. Cogn. Human-Computer Coop., L. Erlbaum Associates Inc., Hillsdale, NJ, USA, 1995, pp. 255-278.
M. Lind, Modeling goals and functions of complex industrial plants, Appl. Artif. Intell. 8 (1994) 259-283.
M. Lind, An introduction to multilevel flow modeling, Nucl. Saf. Simul. 2 (2011) 22-32.
M.N. Larsen, Modelling Start-up Tasks Using Functional Models, The Technical University of Denmark, 1993.
A. Gofuku, K. Adachi, Y. Tanaka, Finding out counter actions in an anomalous plant situation based on functions and behavior, Trans. Inst. Syst. Control Inf. Eng. 11 (1998) 458-465.
A. Gofuku, Application of a derivation technique of possible counter actions to an oil refinery plant, in: Proc. 4th IJCAI Work. Eng. Probl. Qual. Reason, 1999, pp. 77-83.
A. Gofuku, T. Inoue, T. Sugihara, A technique to generate plausible counteroperation procedures for an emergency situation based on a model expressing functions of components, J. Nucl. Sci. Technol. 54 (2017) 578-588.
M. Lind, Control functions in MFM: basic principles, Nucl. Saf. Simul. 2 (2011), 132-129.
TEPCO, Fukushima Nuclear Accident Analysis Report, Tokyo Electric Power Company, Inc., Tokyo, 2012. http://www.tepco.co.jp/en/press/corp-com/release/betu12_e/images/120620e0104.pdf.
M. Lind, X. Zhang, Applying functional modeling for accident management of nuclear power plant, Proc. ISOFIC/ISSNP 2014 (5) (2014) 1-10.
A. Gofuku, Applications of MFM to intelligent systems for supporting plant operators and designers: function-based inference techniques, Nucl. Saf. Simul. 2 (2011) 235-246.
X. Zhang, M. Lind, O. Ravn, in: Consequence Reasoning in Multilevel Flow Modelling, IFAC Proc, 12, 2013, pp. 187-194.
S.A. Hodge, J.C. Cleveland, T.S. Kress, M. Petek, Identification and Assessment of BWR In-vessel Severe Accident Mitigation Strategies, 1992.
IAEA, The Fukushima Daiichi Accident Report by the Director General, IAEA, Vienna, 2015.
T. Inoue, A. Gofuku, A technique to prioritize plausible counter operation procedures in an accidental situation of plants, in: 8th Int. Symp. Symbiotic Nucl. Power Syst. 21st Century, 2016.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
오픈액세스 학술지에 출판된 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.