참고문헌
- M. A. Shalaby, and M. Y. A. Younan, 'Limit loads for pipe elbows subjected to in-plane opening moments and internal pressure, J. of Press. Ves. Tech., Vol. 121, pp. 17-23, (1999) https://doi.org/10.1115/1.2883661
- B. Chexal , J. Horowitz, B. Dooley, P. Millett, C. Wood, and R. Jones , 'Flow-Accelerated Corrosion in Power Plant,' EPRl/TR-106611-R2 , (1998)
- J. W. Hines, D. J. Wrest, and R. E. Uhrig, 'Signal validation using an adaptive neural fuzzy inference system,' Nucl. Technology, Vol. 119, No.2, pp. 181-193, (1997) https://doi.org/10.13182/NT97-A35385
- P. Fantoni , S. Figedy, and A. Racz, 'A neuro-fuzzy model applied full range signal validation of PWR nuclear power plant data,' FLINS-98 , Antwerpen , Belgium, (1998)
- M. G. Na, Y. R. Sim, K. H. Park, S. M. Lee, D. W. Jung, S. H. Shin, B. R. Upadhyaya, K. Zhao, and B. Lu, 'Sensor monitoring using a fuzzy neural network with an automatic structure constructor,' IEEE Trans. Nucl. Sci., Vol. 50, No.2, pp. 241-250, (2003) https://doi.org/10.1109/TNS.2003.809471
- E. B. Bartlett and R. E. Uhrig, 'Nuclear power plant diagnostics using an artificial neural network,' Nucl. Technol., Vol. 97, pp. 272-281, (1992)
- M. Marseguerra and E. Zio, 'Fault diagnosis via neural networks: The Boltzmann machine,' Nucl. Sci. Eng., Vol. 117, No. 3, pp. 194-200, (1994) https://doi.org/10.13182/NSE94-A28534
- H. G. Kim, S. H. Chang, and B. H. Lee, 'Optimal fuel loading pattern design using an artificial neural network and a fuzzy rule-based system,' Nucl. Sci. Eng., Vol. 115, No. 2, pp. 152-163, (1993) https://doi.org/10.13182/NSE93-A28525
- J. H. Lee, H. J. Sim, C. S. Jang, and C. H. Kim, 'Incorporation of neural networks into simulated annealing algorithm for fuel assembly loading pattern optimization in a PWR,' Proc. Int. Conf. on Phys. of Nucl. Sci. and Technol., Long Island, New York, October 5-8, Vol. 1, p. 75, American Nuclear Society, (1998)
- M. G. Na, 'Design of a genetic fuzzy controller for the nuclear steam generator water level control,' IEEE Trans. Nucl. Sci., Vol. 45, No. 4, pp. 2261-2271, (1998) https://doi.org/10.1109/23.709657
- Y. Bartal, J. Lin, and R. E. Uhrig, 'Nuclear power plant transient diagnostics using artificial neural networks that allow 'don’t-know' classifications,' Nucl. Technol., Vol. 110, No. 3, pp. 436-449, (1995)
- C. H. Roh, H. S. Chang, H. G. Kim, and S. H. Chang, 'Identification of reactor vessel failures using spatiotemporal neural networks,' IEEE Trans. Nucl. Sci., Vol. 43, No.6, pp. 3223-3229, (1996) https://doi.org/10.1109/23.552722
- X. Z. Wang and R. F. Li, 'Combining conceptual clustering and principal component analysis for state space based process monitoring,' Ind. Eng. Chem. Res., Vol. 38, No. 11, pp. 4345-4358, (1999) https://doi.org/10.1021/ie990144q
- Junghui Chen and Jialin Liu, 'Mixture principal component analysis models for process monitoring,' Ind. Eng. Chem. Res., Vol. 38, No.4, pp. 1478-1488, (1999) https://doi.org/10.1021/ie980577d
- Hibbitt, Karlson and Sorensen Inc., 'ABAQUS User’s Manual', (2001)
- V. C. Martzen, and L. Yu, 'Elbow stress indices using finite element analysis,' Nucl. Eng. & Des, Vol. 181, pp. 257-265, (1998) https://doi.org/10.1016/S0029-5493(97)00352-X
- J. -S. Roger Jang, 'ANFIS: Adaptive-network-based fuzzy inference systems, ' IEEE Transactions on Systems, Man, and Cybernetics, Vol. 23, No.3, pp 665-685, (1993)
- T. Takagi and M. Sugeno, 'Fuzzy identification of systems and its applications to modeling and control,' IEEE Trans. System, Man, Cybern., Vol. 1, pp. 116-132, (1985)