Please use this identifier to cite or link to this item: http://www.repositorio.cdtn.br:8080/jspui/handle/123456789/434
Title: Neural network correlation for power peak factor estimation
Title of periodic: Annals of Nuclear Energy Oxford
Authors: Souza, Rose Mary do Prado Gomes
Moreira, J.M.L.
Affiliation: Centro de Desenvolvimento da Tecnologia Nuclear/CDTN, Belo Horizonte, MG, Brasil
Centro Tecnológico da Marinha em São Paulo/CTMSP, São Paulo, SP, Brasil
Issue Date: 2006
Keywords: Reactor protection systems;neural networks;power density
Abstract: This paper proposes a method, based on the artificial neural network technique, to predict accurately and in real time the power peak factor in a form that can be implemented in reactor protection systems. The neural network inputs are the position of control rods and signals of ex-core detectors. The data used to train the networks were obtained in the IPEN/MB-01 zero-power reactor from especially designed experiments.
Access: L
Appears in Collections:Artigo de periódico

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