Intelligent fault monitoring and reliability analysis in safety–critical systems of nuclear power plants using SIAO-CNN-ORNN
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17707-6.pdf
Reference39 articles.
1. da Costa RG, de Abreu Mol AC, de Carvalho PVR, Lapa CMF (2011) An efficient Neuro-Fuzzy approach to nuclear power plant transient identification. Ann Nucl Energy 38(6):1418–1426
2. Lee J, Lin L, Athe P, Dinh N (2021) Development of the machine learning-based safety significant factor inference model for diagnosis in an autonomous control system. Ann Nucl Energy 162:108443
3. Singh P, Singh LK (2021) Reliability and safety engineering for safety critical systems: an interview study with industry practitioners. IEEE Trans Reliab 70(2):643–653
4. Lee SJ, Jung W, Yang JE (2016) PSA model with consideration of the effect of fault-tolerant techniques in digital I&C systems. Ann Nucl Energy 87:375–384
5. Saeed HA, Wang H, Peng M, Hussain A, Nawaz A (2020) Online fault monitoring based on deep neural network & sliding window technique. Prog Nucl Energy 121:103236
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