The use of machine learning in the field of reactor safety and noise diagnostics has recently
seen great potential given the advancements made in computational tools, hardware and …

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 …

Post-LOCA prediction is of safety significance to NPP, but requires a processing coverage of
non-linearity, both short and long-term memory, and multiple system parameters. To enable …

Enhancing the safety of nuclear power plants relies on the prompt and accurate
identification of potential anomalies within the reactor. This paper explores the application of …

A large number of sensors are required to collect information during the operation of nuclear
power plants to ensure their absolutely safe operation. However, because of the unique …

Power reactor neutron noise is the fluctuations or perturbations of neutron flux induced by
small oscillations of various macro parameters (density, temperatures, mechanical …

[ES] El presente trabajo estudia las posibilidades de detección y localización de pequeñas
anomalías de funcionamiento en un reactor nuclear de agua presión. Mediante la …