Neural network correlation for power peak factor estimation

Please use this identifier to cite or link to this item: http://www.repositorio.cdtn.br:8080/jspui/handle/123456789/434

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DC Field	Value	Language
dc.contributor.author	Souza, Rose Mary Gomes do Prado	-
dc.contributor.author	Moreira, J.M.L.	-
dc.date.accessioned	2016-08-29T18:47:19Z	-
dc.date.available	16-9-2010	-
dc.date.available	2016-08-29T18:47:19Z	-
dc.date.issued	2006	-
dc.identifier.issn	ISSN 0306-4549	-
dc.identifier.uri	http://www.repositorio.cdtn.br:8080/jspui/handle/123456789/434	-
dc.description.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.	-
dc.language.iso	Inglês	-
dc.rights	L	-
dc.subject	Reactor protection systems	-
dc.subject	neural networks	-
dc.subject	power density	-
dc.title	Neural network correlation for power peak factor estimation	-
dc.type	Artigo Periódico	-
dc.creator.affiliation	Centro de Desenvolvimento da Tecnologia Nuclear/CDTN, Belo Horizonte, MG, Brasil	-
dc.creator.affiliation	Centro Tecnológico da Marinha em São Paulo/CTMSP, São Paulo, SP, Brasil	-
dc.identifier.fasciculo	7	-
dc.identifier.vol	33	-
dc.identifier.extent	p. 594-608	-
dc.title.journal	Annals of Nuclear Energy Oxford	-
Appears in Collections:	Artigo de periódico

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