Researching | Development and analysis of a K-nearest-neighbor-based transient identification model for molten salt reactor systems

NUCLEAR TECHNIQUES, Volume. 46, Issue 11, 110604(2023)

Development and analysis of a K-nearest-neighbor-based transient identification model for molten salt reactor systems

Tianze ZHOU^1,2, Kaicheng YU^2,3, Maosong CHENG^2,3、*, and Zhimin DAI^1,2,3、**

Author Affiliations

¹ShanghaiTech University, Shanghai 201210, China

²Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China

³University of Chinese Academy of Sciences, Beijing 100049, China

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[1] Cottrell W B, Hungerford H E, Leslie J K et al. Operation of the aircraft reactor experiment: ORNL-1845[R](1955).

[2] Zuo X D, Cheng M S, Dai Y Q et al. Flow field effect of delayed neutron precursors in liquid-fueled molten salt reactors[J]. Nuclear Science and Techniques, 33, 96(2022).

[3] CAI Xiangzhou, DAI Zhimin, XU Hongjie. Thorium molten salt reactor nuclear energy system[J]. Physics, 45, 578-590(2016).

[4] JIANG Mianheng, XU Hongjie, DAI Zhimin. Advanced fission energy program-TMSR nuclear energy system[J]. Bulletin of Chinese Academy of Sciences, 27, 366-374(2012).

[5] YU Kaicheng, CHENG Maosong, DAI Zhimin. Development and verification of fuel management code for liquid-fueled molten salt reactor based on deterministic code system[J]. Nuclear Techniques, 44, 040603(2021).

[6] LIANG Rongjian, SUN Liangjie, JIAO Xiaowei et al. Reliability analysis and optimization of core fuel salt emergency drain system for the molten salt reactor experiment[J]. Nuclear Techniques, 46, 030604(2023).

[7] Peng M J, Wang H, Yang X et al. Real-time simulations to enhance distributed on-line monitoring and fault detection in Pressurized Water Reactors[J]. Annals of Nuclear Energy, 109, 557-573(2017).

[8] Wang Z C, Xia H, Zhang J Y et al. A deep transfer learning method for system-level fault diagnosis of nuclear power plants under different power levels[J]. Annals of Nuclear Energy, 166, 108771(2022).

[9] Li X, Fu X M, Xiong F R et al. Deep learning-based unsupervised representation clustering methodology for automatic nuclear reactor operating transient identification[J]. Knowledge-Based Systems, 204, 106178(2020).

[10] Ramezani I, Vosoughi N, Moshkbar-Bakhshayesh K et al. Evaluation of the performance of different feature selection techniques for identification of NPPs transients using deep learning[J]. Annals of Nuclear Energy, 183, 109668(2023).

[11] dos Santos M C, Pinheiro V H C, do Desterro F S M et al. Deep rectifier neural network applied to the accident identification problem in a PWR nuclear power plant[J]. Annals of Nuclear Energy, 133, 400-408(2019).

[12] Mendoza M, Tsvetkov P V. An intelligent fault detection and diagnosis monitoring system for reactor operational resilience: power transient identification[J]. Progress in Nuclear Energy, 156, 104529(2023).

[13] Mena P, Borrelli R A, Kerby L. Nuclear reactor transient diagnostics using classification and AutoML[J]. Nuclear Technology, 208, 232-245(2022).

[14] Zhang S C, Li X L, Zong M et al. Efficient kNN classification with different numbers of nearest neighbors[J]. IEEE Transactions on Neural Networks and Learning Systems, 29, 1774-1785(2018).

[15] Zhang M L, Zhou Z H. ML-KNN: a lazy learning approach to multi-label learning[J]. Pattern Recognition, 40, 2038-2048(2007).

[16] Bentley J L. Multidimensional binary search trees used for associative searching[J]. Communications of the ACM, 18, 509-517(1975).

[17] Omohundro S M[M]. Five balltree construction algorithms(1989).

[18] CHEN Xuerui, ZHAO Zhongwei, SUN Yuewen et al. Research on digital radiography classification learning method based on simulation data[J]. Nuclear Techniques, 42, 030202(2019).

[19] SHI Chengbin, CHENG Maosong, LIU Guimin. Extension and Verification of RELAP5 Applied to Liquid Fuel molten salt reactor[J]. Nuclear Power Engineering, 37, 16-20(2016).

[20] LI Rui, CHENG Maosong, DAI Zhimin. Improvement and validation of the delayed neutron precursor transport model in RELAP5 code for liquid fuel molten salt reactor[J]. Nuclear Techniques, 44, 060603(2021).

[21] SONG Shiyang, CHENG Maosong, LIN Ming et al. Development and application of multi-scale thermal fluid coupling program for molten salt cooled fast reactor based on RELAP5 and sub-channel program[J]. Nuclear Techniques, 45, 070602(2022).

[22] Beall S E, Haubenreich P N, Lindauer R B et al. Msre design and operations report. Part V. reactor safety analysis report.: ORNL-TM-732[R](1964).

[23] Wu Z H, Bai J J, Zhang D D et al. Statistical analysis of helium bubbles in transmission electron microscopy images based on machine learning method[J]. Nuclear Science and Techniques, 32, 54(2021).

[24] Bernal-de Lzaro J M, Llanes-Santiago O, Prieto-Moreno A et al. A novel index for the robustness comparison of classifiers in fault diagnosis[J]. Neurocomputing, 275, 636-648(2018).

[25] Lepskii O V. On a problem of adaptive estimation in Gaussian white noise[J]. Theory of Probability & Its Applications, 35, 454-466(1991).

[26] Wang Q, Yan X L, Chen X C et al. Spectral baseline estimation using penalized least squares with weights derived from the Bayesian method[J]. Nuclear Science and Techniques, 33, 148(2022).

[27] Yang B, Xia H, Annor-Nyarko M et al. Application of total variation denoising in nuclear power plant signal pre-processing[J]. Annals of Nuclear Energy, 135, 106981(2020).

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Tianze ZHOU, Kaicheng YU, Maosong CHENG, Zhimin DAI. Development and analysis of a K-nearest-neighbor-based transient identification model for molten salt reactor systems[J]. NUCLEAR TECHNIQUES, 2023, 46(11): 110604

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Paper Information

Category: Research Articles

Received: Apr. 24, 2023

Accepted: --

Published Online: Dec. 23, 2023

The Author Email:

DOI:10.11889/j.0253-3219.2023.hjs.46.110604

Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology