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Improved prediction of iron losses using iGSEDC

dc.contributor.advisorVakil, Gaurang
dc.contributor.authorSyed, Asim Ali Shah
dc.date.accessioned2020-09-28T06:45:36Z
dc.date.available2020-09-28T06:45:36Z
dc.date.issued2020-09-01
dc.identifier.urihttp://hdl.handle.net/10651/56937
dc.descriptionMSc Thesis project & internship (30 ECTS)spa
dc.description.abstractDesign of most power conversion devices requires design of magnetic components and its prior knowledge of electrical performance. Core loss is vital information that design engineer requires during design stages of stator core of electrical machines. In this thesis, iGSEDC method is proposed for predicting high frequency iron core losses under dc bias condition for non-sinusoidal excitations in non grain oriented electrical steels.spa
dc.format.extent83 p.spa
dc.language.isoengspa
dc.publisherAsim Ali shah syedspa
dc.relation.ispartofseriesMáster Universitario Erasmus Mundus en Transporte Sostenible y Sistemas Eléctricos de Potencia
dc.rightsCC Reconocimiento - No comercial - Sin obras derivadas 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectSteinmetzspa
dc.subjectiGSEDCspa
dc.subjectDC biasspa
dc.subjectCore lossspa
dc.subjectMinor loopsspa
dc.subjectFTSEspa
dc.subjectIron Silicon steelspa
dc.subjectNon grain orientedspa
dc.subjectCharacterizationspa
dc.titleImproved prediction of iron losses using iGSEDCspa
dc.title.alternative(iGSE with dc bias condition)spa
dc.typemaster thesisspa
dc.rights.accessRightsopen access


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CC Reconocimiento - No comercial - Sin obras derivadas 4.0 Internacional
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