Abstract:
The work is carried out on ENEA RC-1, a Triga Mark II 1 MW - demineralized water / natural convection cooled - research reactor, located at ENEA Casaccia Centre. Activity is aimed at intelligent processing of the data obtained by reactor measurements through soft-computing models based on neural networks (NN). A first application is made for CRDM rod position validation and a second one is devoted to the fuel temperature prediction. Both use the NN-based algorithms working on real data coming from sensors. The bias between real and calculated values is used to train the NNs for improving the performance in the further experiments.