ESTIMATION OF THE POWER PEAKING FACTOR IN A NUCLEAR REACTOR USING SUPPORT VECTOR MACHINES AND UNCERTAINTY ANALYSIS |
Bae, In-Ho
(Department of Nuclear Engineering, Chosun University)
Na, Man-Gyun (Department of Nuclear Engineering, Chosun University) Lee, Yoon-Joon (Cheju National University) Park, Goon-Cherl (Seoul National University) |
1 | G.Y. Heo, "Condition monitoring using empirical models: technical review and prospects for nuclear applications," Nucl. Eng. Tech., vol. 40, pp. 49-68, Feb. 2008 과학기술학회마을 DOI |
2 | W.K. In, D.H. Hwang, Y.J. Yoo, and S.Q. Zee, “Assessment of core protection and monitoring systems for an advanced reactor SMART,” Annals of Nuclear Energy, vol. 29, no. 5, pp. 609-621, Mar. 2002 DOI ScienceOn |
3 | I.H. Bae, M.G. Na, Y.J. Lee, and G.C. Park, “Calculation of the power peaking factor in a nuclear reactor using support vector regression models,” Annals of Nuclear Energy, vol. 35, no. 12, pp. 2200-2205, Dec. 2008 DOI ScienceOn |
4 | V. Vapnik, The Nature of Statistical Learning Theory. New York: Springer, 1995 |
5 | G.C. Lee, W.P. Baek, and S.H. Chang, “Improved methodology for generation of axial flux shapes in digital core protection systems,” Annals of Nuclear Energy, vol. 29, no. 7, pp. 805-819, May 2002 DOI ScienceOn |
6 | M G. Na, “Application of a genetic neuro-fuzzy logic to departure from nucleate boiling protection limit estimation,” Nuclear Technology, vol. 128, pp. 327-340, Apr. 1999 DOI |
7 | V. Kecman, Learning and Soft Computing. Cambridge, Massachusetts: MIT Press, 2001 |
8 | ABB Combustion Engineering Inc., “Overview Description of the Core Operation Limit Supervisory System (COLSS),” CEN-312-P, Revision 01-P, 1986 |
9 | S.R. Gunn, Support Vector Machines for Classification and Regression. Technical Report, University of Southampton, 1998 |
10 | M.G. Na, D.W. Jung, S.H. Shin, K.B. Lee, and Y.J. Lee, “Estimation of the nuclear power peaking factor using incore sensor signals,” Nucl. Eng. Tech., vol. 36, no. 5, pp. 420-429, Oct. 2004 |
11 | V. N. Vapnik, Statistical Learning Theory. New York, NY: John Wiley & Sons, 1998 |
12 | J. Garvey, D. Garvey, R. Seibert, J.W. Hines, “Validation of on-line monitoring techniques to nuclear plant data,” Nucl. Eng. Tech., vol. 39, no. 2, pp. 149-158, Apr. 2007 DOI |
13 | H.C. Kim and S.H. Chang, “Development of a back propagation network for one-step transient DNBR calculations,” Annals of Nuclear Energy, vol. 24, no. 17, pp.1437-1446, Nov. 1997 DOI ScienceOn |
14 | S.Han, U.S. Kim, and P.H. Seong, “A methodology for benefit assessment of using in-core neutron detector signals in core protection calculator system (CPCS) for Korea standard nuclear power plants (KSNPP),” Annals of Nuclear Energy, vol. 26, no. 6, pp. 471-488, 1999 DOI ScienceOn |
15 | B.O. Cho, H.G. Joo, J.Y. Cho, S.Q. Zee, “MASTER: reactor core design and analysis code,” Proceedings of 2002 Int. Conf. New Frontiers of Nuclear Technology: Reactor Physics (PHYSOR 2002), Seoul, Korea, Oct. 7-10, 2002 |
16 | M. G. Na, “DNB limit estimation using an adaptive fuzzy inference system,” IEEE Trans. Nucl. Sci., vol. 47, no. 6, pp. 1948-1953, Dec. 2000 DOI ScienceOn |
17 | S.L. Chiu, “Fuzzy model identification based on cluster estimation,” J. Intell. Fuzzy Systems, vol. 2, pp. 267-278, 1994 DOI ScienceOn |
18 | M.G. Na, I.J. Hwang, and Y.J. Lee, “Inferential sensing and monitoring for feedwater flowrate in pressurized water reactors,” IEEE Trans. Nucl. Sci., vol. 53, no. 4, pp. 2335-2342, Aug. 2006 DOI ScienceOn |
19 | J.K. Lee and B.S. Han, “Modeling of core protection and monitoring system for PWR nuclear power plant simulator,” Annals of Nuclear Energy, vol. 25, no. 7, pp. 409-420, May 1998 DOI ScienceOn |
20 | R. Tibshirani, “A comparison of some error estimates for neural network models,” Neural Computation, vol. 8, pp. 152-163, 1996 DOI |
21 | J.W. Hines, B. Rasmussen, “Online sensor calibration monitoring uncertainty estimation,” Nuclear Technology, vol. 151, pp. 281-288, Sept. 2005 DOI |