Acknowledgement
This research was supported by the 2022 Research Fund of the KEPCO International Nuclear Graduate School (KINGS), Republic of Korea.
References
- A. Kossiakoff, W. N. Sweet, S. J. Seymour, M. Biemer., "SYSTEMS ENGINEERING PRINCIPLES AND PRACTICE", Second Edition (2011).
- Youn, B.-S., Koh, J.-H., & Lee, D.-H. (2017). Development the DEC PIRT for APR1400 MSGTR. Transactions of the Korean Nuclear Society Spring Meeting, Jeju, Korea.
- Wilson, G. E., Fletcher, C. D., & Davis, C. B. (1997). Phenomena identification and ranking tables for Westinghouse AP600 small break loss-of-coolant accident, main steam line break, and steam generator tube rupture scenarios. https://doi.org/10.2172/501518.
- Adams, B., Bohnhoff, W., Dalbey, K., Ebeida, M., Eddy, J., Eldred, M., Hooper, R., Hough, P., Hu, K., Jakeman, J., Khalil, M., Maupin, K., Monschke, J., Ridgway, E., Rushdi, A., Seidl, D., Stephens, J., & Winokur, J. (2021). Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and Sensitivity Analysis: Version 6.15 user's manual. https://doi.org/10.2172/1829573
- Ahn, S. H., Huh, C. W., Park, J. Y., Kim, M. W., & Cho, Y. J. (2008). Phenomena Identification and Rankings in Domestic PWR Accident Conditions. Transaction of the Korea Nuclear Society, Spring Meeting, Gyeongju.
- Cho, K., van Merrienboer, B., Bahdanau, D., & Bengio, Y. (2014). On the properties of neural machine translation: Encoder-decoder approaches. Proceedings of SSST-8, Eighth Workshop on Syntax, Semantics, and Structure in Statistical Translation. https://doi.org/10.3115/v1/w14-4012.
- Hochreiter, S., & Schmidhuber, J. (1997). Long short-term memory. Neural Computation, 9(8), 1735-1780. https://doi.org/10.1162/neco.1997.9.8.1735
- Il Kim, S., Wan Kang, C., Hyeok Kim, J., Han Park, K., Yun Oh, J., Hee Lee, B., Soon Ha, K., & Ho Hong, S. (2022). Evaluation of aerosol retention inside a steam generator under steam generator tube rupture accident conditions. Nuclear Engineering and Design, 396, 111899. https://doi.org/10.1016/j.nucengdes.2022.111899.
- Innovative Systems Software LLC. 2020. 'RELAP/SDAPSIM/MOD3.x User Reference Manual - Volume I - Advanced Fluid Systems Thermal Hydraulics Analysis'. Innovative Systems Software LLC.
- Fernandez, M. G., Tokuhiro, A., Welter, K., and Wu, Q. (2017). Nuclear energy system's behavior and decision-making using machine learning. Nuclear Engineering and Design, 324, 27-34. https://doi.org/10.1016/j.nucengdes.2017.08.020
- Chollet, F. (2021). Deep learning with Python. Manning.
- Halevy, A., Norvig, P., & Pereira, F. (2009). The unreasonable effectiveness of data. IEEE Intelligent Systems, 24(2), 8-12. https://doi.org/10.1109/mis.2009.36.
- Sadek, S., Grgic, D., Allison, C., & Perez-Ferragut, M. (2022). Uncertainty study of the in-vessel phase of a severe accident in a pressurized water reactor. Energies, 15(5), 1842. https://doi.org/10.3390/en15051842.