Comparison of machine learning training sampling schemes for induction machine modeling

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but.event.date25.04.2023cs
but.event.titleSTUDENT EEICT 2023cs
dc.contributor.authorBílek, Vladimír
dc.date.accessioned2023-07-17T05:57:35Z
dc.date.available2023-07-17T05:57:35Z
dc.date.issued2023cs
dc.description.abstractThe aim of the paper is to demonstrate the modelingof an induction machine using a chosen machine learningtechnique, followed by a comparison of the training samplingschemes for this technique. A simple 3-phase induction machinewith an axially slitted solid rotor has been selected for the casestudy, where FEM-based program Ansys Electronics Desktophas been used for its calculation. A total of 3 training schemeswere considered and compared with each other for the machinelearning technique. Some of the comparison results are given anddiscussed at the end of this paper. The described methodologycan be used to accelerate the design and optimization of any typeof electrical machine.en
dc.formattextcs
dc.format.extent188-192cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings II of the 29st Conference STUDENT EEICT 2023: Selected papers. s. 188-192. ISBN 978-80-214-6154-3cs
dc.identifier.doi10.13164/eeict.2023.188
dc.identifier.isbn978-80-214-6154-3
dc.identifier.issn2788-1334
dc.identifier.urihttp://hdl.handle.net/11012/210687
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings II of the 29st Conference STUDENT EEICT 2023: Selected papersen
dc.relation.urihttps://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_2_v2.pdfcs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectFEAen
dc.subjectFinite element methoden
dc.subjectGaussian processregressionen
dc.subjectInduction machineen
dc.subjectMachine learningen
dc.subjectSolid rotor,Surrogate modelingen
dc.titleComparison of machine learning training sampling schemes for induction machine modelingen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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