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Nuclear Technology Volume 208, 2022 - Issue 2
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Technical Papers

Nuclear Reactor Transient Diagnostics Using Classification and AutoML

Pedro Menaa Idaho State University, Department of Nuclear Engineering, 921 South 8th Avenue, Pocatello, Idaho83209Correspondence[email protected]
,
R. A. Borrellib Center for Advanced Energy Studies, 995 MK Simpson Boulevard, Idaho Falls, Idaho83401;c University of Idaho Idaho Falls Center for Higher Education, Department of Nuclear Engineering and Industrial Management, 1776 Science Center Drive, Idaho Falls, Idaho83402
&
Leslie Kerbya Idaho State University, Department of Nuclear Engineering, 921 South 8th Avenue, Pocatello, Idaho83209;b Center for Advanced Energy Studies, 995 MK Simpson Boulevard, Idaho Falls, Idaho83401
Pages 232-245 | Received 07 Sep 2020, Accepted 15 Mar 2021, Published online: 16 Jun 2021

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Helin Gong, Sibo Cheng, Zhang Chen & Qing Li. (2022) Data-Enabled Physics-Informed Machine Learning for Reduced-Order Modeling Digital Twin: Application to Nuclear Reactor Physics. Nuclear Science and Engineering 196:6, pages 668-693.
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Articles from other publishers (6)

Muhammad Zubair & Yumna Akram. (2024) Enhancement in the safety and reliability of Pressurized Water reactors using Machine Learning approach. Annals of Nuclear Energy 201, pages 110448.
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Muhammad Zubair & Yumna Akram. (2023) Utilizing MATLAB machine learning models to categorize transient events in a nuclear power plant using generic pressurized water reactor simulator. Nuclear Engineering and Design 415, pages 112698.
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Tianze Zhou, Kaicheng Yu, Maosong Cheng, Rui Li & Zhimin Dai. (2023) Development and validation of machine learning-based transient identification models in a liquid-fueled molten salt reactor system. Nuclear Engineering and Design 415, pages 112682.
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Younghee Park, Soohyung Park, Jeongsik Kim, Byoung-jik Kim & Namhun Kim. (2022) Applications of Artificial Intelligence and Future Research Directions for Radiation Emergency Response. Journal of the Korean Institute of Industrial Engineers 48:6, pages 626-635.
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Gensheng Qian & Jingquan Liu. (2022) Fault diagnosis based on conditional generative adversarial networks in nuclear power plants. Annals of Nuclear Energy 176, pages 109267.
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Pedro Mena, R.A. Borrelli & Leslie Kerby. (2022) Expanded analysis of machine learning models for nuclear transient identification using TPOT. Nuclear Engineering and Design 390, pages 111694.
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