Advanced numerical simulation and modeling for reactor safety–contributions from the CORTEX, McSAFER, and METIS projects
C Demazière, VH Sanchez-Espinoza… - EPJ Nuclear Sciences & …, 2022 - epjn.epj.org
This paper gives an account of three projects funded by the European Union that heavily
rely on numerical modeling and simulations of nuclear reactors: the CORTEX project (CORe …
rely on numerical modeling and simulations of nuclear reactors: the CORTEX project (CORe …
[HTML][HTML] Machine learning for analysis of real nuclear plant data in the frequency domain
Abstract Machine Learning is used in this paper for noise-diagnostics to detect defined
anomalies in nuclear plant reactor cores solely from neutron detector measurements. The …
anomalies in nuclear plant reactor cores solely from neutron detector measurements. The …
Detection and localisation of multiple in-core perturbations with neutron noise-based self-supervised domain adaptation
The use of non-intrusive techniques for monitoring nuclear reactors is becoming more vital
as western fleets age. As a consequence, the necessity to detect more frequently occurring …
as western fleets age. As a consequence, the necessity to detect more frequently occurring …
Localizing perturbations in pressurized water reactors using one-dimensional deep convolutional neural networks
L Pantera, P Stulík, A Vidal-Ferràndiz, A Carreño… - Sensors, 2021 - mdpi.com
This work outlines an approach for localizing anomalies in nuclear reactor cores during their
steady state operation, employing deep, one-dimensional, convolutional neural networks …
steady state operation, employing deep, one-dimensional, convolutional neural networks …