METHOD OF SYNTHESIZING AXIAL POWER DISTRIBUTION OF REACTOR CORE USING NEURAL NETWORK AND THE IN-CORE MONITORING SYSTEM(ICOMS) USING THE SAME

摘要

The present invention relates to a method to synthesize an axial power distribution of a reactor core by using a neural network circuit and an in-core monitoring system applying the same. More specifically, the method comprises an input layer, an output layer and one or more hidden layers, and each layer comprises at least one node. Using a neural network circuit formed to make connections between the nodes connected with each connection strength varied according to a learning result while each node is connected to a node of other layers, an optimal connection strength between the nodes forming the neural network circuit through learning based on various core design data applied to a reactor core design of a nuclear power plant is determined, so an axial power distribution of a reactor core is synthesized based on an in-core instrument signal measured through an in-core instrument during operation of a nuclear reactor. Thus, the axial power distribution is more correctly simulated over a fuel period.