Reactor Vessel Water Level Estimation During Severe Accidents Using Cascaded Fuzzy Neural Networks |
Kim, Dong Yeong
(Department of Nuclear Engineering, Chosun University)
Yoo, Kwae Hwan (Department of Nuclear Engineering, Chosun University) Choi, Geon Pil (Department of Nuclear Engineering, Chosun University) Back, Ju Hyun (Department of Nuclear Engineering, Chosun University) Na, Man Gyun (Department of Nuclear Engineering, Chosun University) |
1 | A. Murata, K. Isoda, T. Ikeuchi, T. Matsui, F. Shiraishi, M. Oba, Classification method of severe accident condition for the development of severe accident instrumentation and monitoring system in nuclear power plant, J. Nucl. Sci. Technol. 53 (2015) 870-877. |
2 | J.W. Hines, D.J. Wrest, R.E. Uhrig, Signal validation using an adaptive neural fuzzy inference system, Nucl. Technol. 119 (1997) 181-193. DOI |
3 | M.G. Na, A neuro-fuzzy inference system for sensor failure detection using wavelet denoising, PCA and SPRT, J. Korean Nucl. Soc. 33 (2001) 483-497. |
4 | J. Garvey, D. Garvey, R. Seibert, J.W. Hines, Validation of online monitoring techniques to nuclear plant data, Nucl. Eng. Tech. 39 (2007) 149-158. DOI |
5 | E.B. Bartlett, R.E. Uhrig, Nuclear power plant diagnostics using an artificial neural network, Nucl. Technol. 97 (1992) 272-281. DOI |
6 | M. Marseguerra, E. Zio, Fault diagnosis via neural networks: the Boltzmann machine, Nucl. Sci. Eng. 117 (1994) 194-200. DOI |
7 | Y.G. No, J.H. Kim, M.G. Na, D.H. Lim, K.I. Ahn, Monitoring Severe Accidents Using AI Techniques, Nucl. Eng. Technol. 44 (2012) 393-404. DOI |
8 | M.G. Na, S.M. Lee, S.H. Shin, D.W. Jung, S.P. Kim, J.H. Jeong, B.C. Lee, Prediction of major transient scenarios for severe accidents of nuclear power plants, IEEE Trans. Nucl. Sci. 51 (2004) 313-321. DOI |
9 | S.W. Cheon, S.H. Chang, Application of neural networks to a connectionist expert system for transient identification in nuclear power plants, Nucl. Technol. 102 (1993) 177-191. DOI |
10 | Y. Bartal, J. Lin, R.E. Uhrig, Nuclear power plant transient diagnostics using artificial neural networks that allow "don'tknow" classifications, Nucl. Technol. 110 (1995) 436-449. DOI |
11 | D.Y. Kim, K.H. Yoo, M.G. Na, Estimation of minimum DNBR using cascaded fuzzy neural networks, IEEE Trans. Nucl. Sci. 62 (2015) 1849-1856. DOI |
12 | S.H. Lee, Y.G. No, M.G. Na, K.I. Ahn, S.Y. Park, Diagnostics of loss of coolant accidents using SVC and GMDH models, IEEE Trans. Nucl. Sci. 58 (2011) 267-276. DOI |
13 | M.G. Na, W.S. Park, D.H. Lim, Detection and diagnostics of loss of coolant accidents using support vector machines, IEEE Trans. Nucl. Sci. 55 (2008) 628-636. DOI |
14 | E.H. Mamdani, S. Assilian, An experiment in linguistic synthesis with a fuzzy logic controller, Int. J. Man-Machine Studies 7 (1975) 1-13. DOI |
15 | M.G. Na, S.H. Shin, D.W. Jung, S.P. Kim, J.H. Jeong, B.C. Lee, Estimation of break location and size for loss of coolant accidents using neural networks, Nucl. Eng. Des. 232 (2004) 289-300. DOI |
16 | A. Gofuku, A. Numoto, H. Yoshikawa, Y. Tanaka, Diagnostic techniques of a small-break loss-of-coolant accident at a pressurized water reactor plant, Nucl. Technol. 81 (1988) 313-332. DOI |
17 | MAAP4 Modular Accident Analysis Program for LWR Power Plants User's Manual, prepared by Fauske & Associates, LLC for EPRI, Project RP3131-02, May 1994-June 2005. |
18 | T. Takagi, M. Sugeno, Fuzzy identification of systems and its applications to modeling and control, IEEE Trans. Systems, Man, Cybern. SMC-1 (1985) 116-132. |
19 | D.Y. Kim, K.H. Yoo, J.H. Kim, M.G. Na, S. Hur, C.H. Kim, Prediction of leak flow rate using fuzzy neural networks in severe post-LOCA circumstances, IEEE Trans. Nucl. Sci. 61 (2014) 3644-3652. DOI |
20 | D.E. Goldberg, Genetic algorithms in search, optimization, and machine learning, Addison Wesley, Reading (MA), 1989. |
21 | M. Mitchell, An introduction to genetic algorithms, MIT Press, Cambridge (MA), 1996. |
22 | S.H. Park, D.S. Kim, J.H. Kim, M.G. Na, Prediction of the reactor vessel water level using fuzzy neural networks in severe accident circumstances of NPPs, Nucl. Eng. Technol. 46 (2014) 373-380. DOI |
23 | J.C. Duan, F.L. Chung, Cascaded fuzzy neural network model based on syllogistic fuzzy reasoning, IEEE Trans. Fuzzy Systems 9 (2001) 293-306. DOI |
24 | S.H. Park, J.H. Kim, K.H. Yoo, M.G. Na, Smart sensing of the RPV water level in NPP severe accidents using a GMDH algorithm, IEEE Trans. Nucl. Sci. 61 (2014) 931-938. DOI |