INTELLIGENT TECHNIQUES FOR ANOMALY DETECTION IN NUCLEAR REACTORS
EPJ Web Conf., 247 (2021) 21011
Published online: 2021-02-22
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
Autoencoders for sparse sensory reconstruction of temperature gradients during critical power excursion accident conditions of nuclear reactors
Akram S. Batikh, Muhammad S. Battikh, Yahya Alzahrani and Mihai A. DiaconeasaNuclear Engineering and Design 441 114177 (2025)
https://doi.org/10.1016/j.nucengdes.2025.114177
A comparative study of machine learning approaches for identification of perturbed fuel assemblies in WWER-type nuclear reactors
A. Kamkar and M. AbbasiAnnals of Nuclear Energy 211 110992 (2025)
https://doi.org/10.1016/j.anucene.2024.110992
A one-class explainable AI framework for identification of non-stationary concurrent false data injections in nuclear reactor signals
Zachery Dahm, Vasileios Theos, Konstantinos Vasili, William Richards, Konstantinos Gkouliaras and Stylianos ChatzidakisNuclear Engineering and Design 444 114359 (2025)
https://doi.org/10.1016/j.nucengdes.2025.114359
A Robust Anomaly Detection System for Nuclear Power Plants Under Varying Environmental Conditions and Malfunction Levels
Sungmin Kim and Fan ZhangNuclear Technology 211 (8) 1625 (2025)
https://doi.org/10.1080/00295450.2024.2422234
CORTEX experiments, Part II: Postprocessing of neutron noise time series to determine reliable mean and uncertainties
Klemen Ambrožič, Alexander Knospe, Oskari Pakari, Sebastian Hübner, Mathieu Hursin, Carsten Lange, Adolfo Rais, Axel Laureau, Andreas Pautz and Vincent LamirandAnnals of Nuclear Energy 208 110704 (2024)
https://doi.org/10.1016/j.anucene.2024.110704
Anomaly detection for early ransomware and spyware warning in nuclear power plant systems based on FusionGuard
Abdullah Hamad N. AlmoqbilInternational Journal of Information Security 23 (3) 2377 (2024)
https://doi.org/10.1007/s10207-024-00841-z
SPIDARman: System-Level Physics-Informed Detection of Anomalies in Reactor Collected Data Considering Human Errors
Ezgi Gursel, Bhavya Reddy, Katy Daniels, Jamie Baalis Coble, Mahboubeh Madadi, Vivek Agarwal, Ronald Boring, Vaibhav Yadav and Anahita KhojandiNuclear Technology 210 (12) 2299 (2024)
https://doi.org/10.1080/00295450.2024.2338507
Sensor Anomaly Detection in Nuclear Power Plant Using Deep LSTM Denoising Autoencoder and Isolation Forest
Gandhimathinathan A, Ananthakrishnan C G, Lavanya R, R Jehadeesan and Pidapa Raghava ReddyIEEE Sensors Letters 8 (12) 1 (2024)
https://doi.org/10.1109/LSENS.2024.3496540
Characterization of High Harmonic Frequencies in Reactor Noise Experiments Within the CORTEX Project
Klemen Ambrozic, Vincent Larmirand and Andreas PautzIEEE Transactions on Nuclear Science 69 (4) 825 (2022)
https://doi.org/10.1109/TNS.2022.3143238
Robust deep auto-encoding network for real-time anomaly detection at nuclear power plants
Shi Yong and Zhang LinziProcess Safety and Environmental Protection 163 438 (2022)
https://doi.org/10.1016/j.psep.2022.05.039
Deep learning techniques for in-core perturbation identification and localization of time-series nuclear plant measurements
Antonios Papaoikonomou, James Wingate, Vasudha Verma, Aiden Durrant, George Ioannou, Tasos Papagiannis, Miao Yu, Georgios Alexandridis, Abdelhamid Dokhane, Georgios Leontidis, Stefanos Kollias and Andreas StafylopatisAnnals of Nuclear Energy 178 109373 (2022)
https://doi.org/10.1016/j.anucene.2022.109373
Machine learning for analysis of real nuclear plant data in the frequency domain
Stefanos Kollias, Miao Yu, James Wingate, Aiden Durrant, Georgios Leontidis, Georgios Alexandridis, Andreas Stafylopatis, Antonios Mylonakis, Paolo Vinai and Christophe DemaziereAnnals of Nuclear Energy 177 109293 (2022)
https://doi.org/10.1016/j.anucene.2022.109293
Robot Intelligence Technology and Applications 6
Su-Jeong Park, Yunseo Oh, Sung Jun Kim, et al.Lecture Notes in Networks and Systems, Robot Intelligence Technology and Applications 6 429 474 (2022)
https://doi.org/10.1007/978-3-030-97672-9_43
Localizing Perturbations in Pressurized Water Reactors Using One-Dimensional Deep Convolutional Neural Networks
Laurent Pantera, Petr Stulík, Antoni Vidal-Ferràndiz, Amanda Carreño, Damián Ginestar, George Ioannou, Thanos Tasakos, Georgios Alexandridis and Andreas StafylopatisSensors 22 (1) 113 (2021)
https://doi.org/10.3390/s22010113