USING NEURAL NETWORKS IN CONTROL AND FAULT DIAGNOSIS OF NUCLEAR PLANTS

Abstract

n this thesis the Artificial Neural Networks (ANN) have been used in control and fault diagnosis of Nuclear Power Plants OlPP). The NPP arc large and complicated plants so. many parameters must be detected, analysed, and controlled lo achieve the required safety limits of the plan!. The safety instance of the NPP has high importance so. ihe enhancement and development of control and fault diagnosis system have the first priority. The latest control and fault diagnosis theories are verified and tested to check the ability of these theories to be applied in the NPP, The ANN arc applied as one of the latest intelligent control and diagnosis systems.