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Estimation of magnetic field distributions in substation centers using artificial neural networks

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dc.contributor.authorColak, Ilhami
dc.contributor.authorKosalay, Ilhan
dc.contributor.authorInan, Aslan
dc.date.accessioned2026-06-27T13:05:25Z
dc.date.issued2007
dc.description.abstractMagnetic fields at different operation conditions, in and out of the measurement points, were estimated and visualized by the developed visual software, which has 3D screening unit, based on artificial neural networks and grid data. Software enables users to estimate electromagnetic field distributions in and out of the measurement points.en
dc.identifier.eissn0975-1084
dc.identifier.endpage827
dc.identifier.issn0022-4456
dc.identifier.issue10
dc.identifier.startpage819
dc.identifier.urihttps://hdl.handle.net/20.500.14981/49572
dc.identifier.volume66
dc.identifier.wos000250094500004
dc.language.isoeng
dc.publisherNATL INST SCIENCE COMMUNICATION-NISCAIR
dc.relation.ispartofJOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH
dc.subjectANN
dc.subjectmagnetic field
dc.subjecttransformer substation
dc.subjectvisualization
dc.subjectBURIED SHORT CONDUCTORS
dc.subjectMANAGEMENT
dc.subjectINTERFERENCE
dc.subjectPERCEPTRONS
dc.subjectOVERHEAD
dc.subjectDESIGN
dc.subjectMODEL
dc.subjectEngineering
dc.titleEstimation of magnetic field distributions in substation centers using artificial neural networks
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

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