Power peak factor for protection systems - Experimental data for developing a correlation

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dc.contributor.authorMOREIRA, JOAO M.L.pt_BR
dc.contributor.authorSOUZA, ROSE M.G. do P.pt_BR
dc.coverageInternacionalpt_BR
dc.date.accessioned2014-07-15T13:47:49Zpt_BR
dc.date.accessioned2014-07-30T11:50:53Z
dc.date.available2014-07-15T13:47:49Zpt_BR
dc.date.available2014-07-30T11:50:53Z
dc.date.issued2006pt_BR
dc.description.abstractThis paper aims to construct a data set that can be used to train neural networks to furnish the power density peak factor during reactor operation. The inputs considered were those available in the reactor protection systems, namely, the axial and quadrant power differences obtained from measured ex-core detector signals, and the position of control rods. The response of ex-core detector signals was measured in experiments performed in the IPEN/MB-01 zero-power reactor. Several reactor states with different power density distribution were obtained by positioning the control rods in different configurations. The power distribution and its peak factor were calculated for each of these reactor states. The obtained results show that the power peak factor correlates well with the control rod position and the quadrant power difference, and with a lesser degree with the axial power differences. The data presented an inherent organisation and could be classified into different classes of power peak factor behaviour as a function of position of control rods, axial power difference and quadrant power difference. The analysis of the data set indicates that the power peak factor can be determined through a neural network having as input the position of control rods. Regarding only signals of ex-core detectors, the data indicate that a neural network may estimate better the power peak factor if the input vector comprises both the axial and the quadrant power differences.
dc.format.extentp. 609-621pt_BR
dc.identifier.citationMOREIRA, JOAO M.L.; SOUZA, ROSE M.G. do P. Power peak factor for protection systems - Experimental data for developing a correlation. <b>Annals of Nuclear Energy</b>, v. 33, p. p. 609-621, 2006. Disponível em: http://repositorio.ipen.br/handle/123456789/5408.
dc.identifier.doi10.1016/j.anucene.2006.02.008
dc.identifier.issn0306-4549pt_BR
dc.identifier.urihttp://repositorio.ipen.br/handle/123456789/5408pt_BR
dc.identifier.vol33pt_BR
dc.relation.ispartofAnnals of Nuclear Energypt_BR
dc.rightsopenAccessen
dc.subjectcontrol elementspt_BR
dc.subjectcorrelationspt_BR
dc.subjectexperimental datapt_BR
dc.subjectipen-mb-1 reactorpt_BR
dc.subjectneural networkspt_BR
dc.subjectpeakspt_BR
dc.subjectpositioningpt_BR
dc.subjectpower densitypt_BR
dc.subjectpower distributionpt_BR
dc.subjectreactorspt_BR
dc.subjectreactor operationpt_BR
dc.subjectreactor protection systemspt_BR
dc.subjectsignalspt_BR
dc.subjectspatial distributionpt_BR
dc.subjectdistribution
dc.titlePower peak factor for protection systems - Experimental data for developing a correlationpt_BR
dc.typeArtigo de periódicopt_BR
dspace.entity.typePublication
ipen.autorROSE MARY GOMES DO PRADO SOUZA
ipen.autorJOAO MANOEL LOSADA MOREIRA
ipen.codigoautor3120
ipen.codigoautor1216
ipen.contributor.ipenauthorROSE MARY GOMES DO PRADO SOUZA
ipen.contributor.ipenauthorJOAO MANOEL LOSADA MOREIRA
ipen.date.recebimento07-08pt_BR
ipen.identifier.fi0.690pt_BR
ipen.identifier.ipendoc11670pt_BR
ipen.identifier.iwosWoSpt_BR
ipen.range.fi0.001 - 1.499
ipen.type.genreArtigo
relation.isAuthorOfPublication6a229f41-64a0-4241-b7da-50abafee2956
relation.isAuthorOfPublication4bc12dc2-7841-4a02-aa3f-0037e8ef5a6e
relation.isAuthorOfPublication.latestForDiscovery4bc12dc2-7841-4a02-aa3f-0037e8ef5a6e
sigepi.autor.atividadeMOREIRA, JOÃO M.L.:1216:-1:Spt_BR
sigepi.autor.atividadeSOUZA, ROSE M.G. do P.:3120:-1:Npt_BR
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