A comparative study of machine learning approaches for identification of perturbed fuel assemblies in WWER-type nuclear reactors
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 …
identification of potential anomalies within the reactor. This paper explores the application of …
Simulation and analysis of core barrel vibrational modes associated with neutron noise phenomena in WWER-type reactors
This survey focuses on an approach to address various vibrational modes of the core barrel
in a hexagonal-structured reactor core. The core barrel vibration is considered one of the …
in a hexagonal-structured reactor core. The core barrel vibration is considered one of the …
Sensitivity analysis and uncertainty quantification of neutron noise simulations in WWER-type reactors using machine learning-based surrogate models
Neutron noise simulations are powerful tools in nuclear engineering, supporting core
diagnostics and reactor dynamics analysis. However, the reliability of these simulations is …
diagnostics and reactor dynamics analysis. However, the reliability of these simulations is …
A comprehensive analysis of thermal–hydraulic signatures in neutron noise of WWER-type reactors
The neutron noise phenomenon, occurring in all types of nuclear reactors, provides valuable
insights into the dynamic behavior of these reactors. In this work, a well-justified approach …
insights into the dynamic behavior of these reactors. In this work, a well-justified approach …