Fault Diagnosis of DCS SMPSs in Nuclear Power Plants Based on Machine Learning-Reference-Cited by-同舟云学术

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Fault Diagnosis of DCS SMPSs in Nuclear Power Plants Based on Machine Learning

Published:2023-12-17 Issue: Volume: Page:
ISSN:2193-567X
Container-title:Arabian Journal for Science and Engineering
language:en
Short-container-title:Arab J Sci Eng

Author:

Wang Fanyu,Wu Yichun,Bu Yang,Pan Feng,Chen Du,Lin Zhiqiang

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

https://link.springer.com/content/pdf/10.1007/s13369-023-08557-3.pdf

Reference32 articles.

1. Ali, S.: Cybersecurity management for distributed control system: systematic approach. J. Ambient. Intell. Humaniz. Comput. 12, 10091–10103 (2021). https://doi.org/10.1007/s12652-020-02775-5

2. Lobanok, O.; Promyslov, V.; Semenkov, K.: Safety-Driven Approach for Security Audit of I&C Systems of Nuclear Power Plants. In: 2022 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM). pp. 545–550 (2022)

3. Agency, I.A.E.: Management of Ageing and obsolescence of nuclear instrumentation and control systems and equipment through modernization. International Atomic Energy Agency (IAEA) (2021)

4. Wang, H.; Zhu, G.; Teng, X.; Sun, X.; Qian, Y.; Hu, Y.: Research on maintenance method of safety-level switching power supply module in nuclear power plant. IOP Conf. Ser. Mater. Sci. Eng. (2021). https://doi.org/10.1088/1757-899X/1043/5/052024

5. Mann, J.K.; Perinpanayagam, S.; Jennions, I.: Aging detection capability for switch-mode power converters. IEEE Trans. Ind. Electron. 63, 3216–3227 (2016). https://doi.org/10.1109/TIE.2016.2535104

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