Anomaly Detection in Liquid Sodium Cold Trap Operation with Multisensory Data Fusion Using Long Short-Term Memory Autoencoder
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- Hyeonmin Kim & Jung-Taek Kim & Jaehyuk Eoh & Dong-Won Lim, 2018. "Development of a Physics-Based Monitoring Algorithm Detecting CO 2 Ingress Accidents in a Sodium-Cooled Fast Reactor," Energies, MDPI, vol. 12(1), pages 1-15, December.
- Konstantinos Prantikos & Lefteri H. Tsoukalas & Alexander Heifetz, 2022. "Physics-Informed Neural Network Solution of Point Kinetics Equations for a Nuclear Reactor Digital Twin," Energies, MDPI, vol. 15(20), pages 1-22, October.
- Muhammad S. Battikh & Artem A. Lenskiy, 2021. "Latent-Insensitive Autoencoders for Anomaly Detection," Mathematics, MDPI, vol. 10(1), pages 1-22, December.
- Martinez-Martinez, Sinuhe & Messai, Nadhir & Jeannot, Jean-Philippe & Nuzillard, Danielle, 2015. "Two neural network based strategies for the detection of a total instantaneous blockage of a sodium-cooled fast reactor," Reliability Engineering and System Safety, Elsevier, vol. 137(C), pages 50-57.
- Mariam Ibrahim & Ahmad Alsheikh & Feras M. Awaysheh & Mohammad Dahman Alshehri, 2022. "Machine Learning Schemes for Anomaly Detection in Solar Power Plants," Energies, MDPI, vol. 15(3), pages 1-17, February.
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Keywords
sodium cooled fast reactors; liquid sodium purification; artificial intelligence; long short-term memory autoencoder; anomaly detection; cold trap;All these keywords.
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