Decision support systems for nuclear reactor control

Abstract

The main objective of this work is to investigate the use of Fuzzy Logic (FL) techniques to assist nuclear reactor operators to identify the causes of faults or accidents and to cope more efficiently with any abnormal situation that might occur in the nuclear power plant. This study is based on the reduced order model of the Loss of Fluid Test (LOFT) reactor a small scale pressurised water reactor, based at the Idaho test facility. The work described in this thesis addresses three important issues related to the improvement in fault diagnosis for nuclear reactors used fuzzy logic techniques, which are the development of a validated simulation in SIMULINK of the reduced order model of the LOFT reactor and the development of methods for fault injection for the simulation. A detailed analysis of the symptoms of faults has been carried out. Using the simulation and fuzzy logic approaches for identifying the faults from the symptoms have been evaluated. (author)Available from British Library Document Supply Centre-DSC:DXN041927 / BLDSC - British Library Document Supply CentreSIGLEGBUnited Kingdo