Twin model-based fault detection and tolerance approach for in-core self-powered neutron detectors
Author:
Publisher
Springer Science and Business Media LLC
Subject
Nuclear Energy and Engineering,Nuclear and High Energy Physics
Link
https://link.springer.com/content/pdf/10.1007/s41365-023-01276-2.pdf
Reference43 articles.
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2. W. Xu, J. Li, H. xie, et al., Conceptual design and safety characteristics of a new multi-mission high flux research reactor. Nucl. Sci. Tech. 34, 34 (2023). https://doi.org/10.1007/s41365-023-01191-6
3. X.J. Peng, Q. Li, K. Wang, Fault detection and isolation for self powered neutron detectors based on principal component analysis. Ann. Nucl. Energy 85, 213–219 (2015). https://doi.org/10.1016/j.anucene.2015.05.016
4. K. Moshkbar-Bakhshayesh, M.B. Ghofran, Transient identification in nuclear power plants: a review. Prog. Nucl. Energy 67, 23–32 (2019). https://doi.org/10.1016/j.pnucene.2013.03.017
5. J. Ling, G.J. Liu, J.L. Li et al., Fault prediction method for nuclear power machinery based on bayesian ppca recurrent neural network model. Nucl. Sci. Tech. 31, 8 (2020). https://doi.org/10.1007/s41365-020-00792-9
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