Sistema de identificação e classificação de transientes em reatores nucleares / NUCLEAR REACTORS TRANSIENTS IDENTIFICATION AND CLASSIFICATION SYSTEM

AUTOR(ES)

Paulo Henrique Bianchi

DATA DE PUBLICAÇÃO

2008

RESUMO

This work describes the study and test of a system capable to identify and classify transients in thermo-hydraulic systems, using a neural network technique of the self-organizing maps (SOM) type, with the objective of implanting it on the new generations of nuclear reactors. The technique developed in this work consists on the use of multiple networks to do the classification and identification of the transient states, being each network a specialist at one respective transient of the system, that compete with each other using the quantization error, that is a measure given by this type of neural network. This technique showed very promising characteristics that allow the development of new functionalities in future projects. One of these characteristics consists on the potential of each network, besides responding what transient is in course, could give additional information about that transient.

ASSUNTO(S)

reatores nucleares transitórios som identificação classificação redes neurais artificiais transientes classificação mapas auto-organizáveis identificação transientes mapas auto-organizáveis reatores nucleares transitórios rna redes neurais artificiais rna som

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