Identification model of an accidental drop of a control rod in PWR reactors using thermocouple readings and radial basis function neural networks

The study found that the predictions of the temperatures made by the RBF neural networks showed good results, which enables the identification of the control rod dropped accidentally in the core, by simple inference of the fuel assembly of lowest temperature among temperatures reconstructed.