Publication:
Prediction of current harmonics in induction motors with Artificial Neural Network

dc.contributor.authorsBirbir, Yasar; Nogay, H. Selcuk; Taskin, Sezai
dc.contributor.editorErtan, HB
dc.contributor.editorUctug, Y
dc.date.accessioned2022-03-12T15:59:45Z
dc.date.accessioned2026-01-11T18:12:20Z
dc.date.available2022-03-12T15:59:45Z
dc.date.issued2007
dc.description.abstractIn this paper, Artificial Neural Network (ANN) technique has been used for the estimation of voltage THD (Total Harmonic Distortion), and current THD, mainly from input and output measurements of five different chorded induction motors fed from a pulse width modulation inverter voltage supply. A sinusoidal pulse-width modulation (SPWM) inverter feeding five different chorded three-phase induction motors were tested up to first thirty harmonic voltage component at different loads. The results show that the artificial neural network model produces reliable estimates of voltage THD and current THD.
dc.identifier.doidoiWOS:000256943100123
dc.identifier.isbn978-1-4244-0890-0
dc.identifier.urihttps://hdl.handle.net/11424/224500
dc.identifier.wosWOS:000256943100123
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartofINTERNATIONAL AEGEAN CONFERENCE ON ELECTRICAL MACHINES AND POWER ELECTRONICS & ELECTROMOTION, PROCEEDINGS
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.titlePrediction of current harmonics in induction motors with Artificial Neural Network
dc.typeconferenceObject
dspace.entity.typePublication
oaire.citation.endPage711
oaire.citation.startPage707
oaire.citation.titleINTERNATIONAL AEGEAN CONFERENCE ON ELECTRICAL MACHINES AND POWER ELECTRONICS & ELECTROMOTION, PROCEEDINGS

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