Localizing Perturbations in Pressurized Water Reactors Using One-Dimensional Deep Convolutional Neural Networks

This work outlines an approach for localizing anomalies in nuclear reactor cores during their steady state operation, employing deep, one-dimensional, convolutional neural networks. Anomalies are characterized by the application of perturbation diagnostic techniques, based on the analysis of the so-...

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Detalles Bibliográficos
Autores principales: Pantera, Laurent, Stulík, Petr, Vidal-Ferràndiz, Antoni, Carreño, Amanda, Ginestar, Damián, Ioannou, George, Tasakos, Thanos, Alexandridis, Georgios, Stafylopatis, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747522/
https://www.ncbi.nlm.nih.gov/pubmed/35009662
http://dx.doi.org/10.3390/s22010113

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747522/
https://www.ncbi.nlm.nih.gov/pubmed/35009662
http://dx.doi.org/10.3390/s22010113

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