Inter Turn Short-Circuit Detection In Vector Controlled Pms Motor Using Ai

but.event.date23.04.2020cs
but.event.titleStudent EEICT 2020cs
dc.contributor.authorZezula, Lukáš
dc.date.accessioned2021-07-15T11:17:18Z
dc.date.available2021-07-15T11:17:18Z
dc.date.issued2020cs
dc.description.abstractThis paper deals with the diagnostics of inter turn faults in a vector controlled synchronous motor with permanent magnets. Inter turn faults are detected by a convolution neural network from adequately preprocessed current signals of the stator phases. The goal is to create a model within which different severity of inter turn faults will be simulated. Data from the simulations are preprocessed and transformed using Wavelet transform and the resulting scalograms are fed to a pre-trained convolution neural network GoogLeNet. This neural network’s diagnostic capabilities are tested on a physical drive, capable of emulating faults.en
dc.formattextcs
dc.format.extent63-66cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings I of the 26st Conference STUDENT EEICT 2020: General papers. s. 63-66. ISBN 978-80-214-5867-3cs
dc.identifier.isbn978-80-214-5867-3
dc.identifier.urihttp://hdl.handle.net/11012/200521
dc.language.isocscs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings I of the 26st Conference STUDENT EEICT 2020: General papersen
dc.relation.urihttps://conf.feec.vutbr.cz/eeict/EEICT2020cs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectPMSMen
dc.subjectITFen
dc.subjectInter turn faulten
dc.subjectInter turn short-circuiten
dc.subjectVector controlen
dc.subjectConvolutional neural networken
dc.subjectMotor fault diagnosticsen
dc.titleInter Turn Short-Circuit Detection In Vector Controlled Pms Motor Using Aien
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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