Publication:
Estimation of low order odd current harmonics in short chorded induction motors using Artificial Neural Network

dc.contributor.authorsBirbir, Yasar; Nogay, H. Selcuk; Ozel, Yelda
dc.contributor.editorDimitrov, DP
dc.contributor.editorMladenov, V
dc.contributor.editorJordanova, S
dc.contributor.editorMastorakis, N
dc.date.accessioned2022-03-12T16:00:08Z
dc.date.accessioned2026-01-11T10:36:20Z
dc.date.available2022-03-12T16:00:08Z
dc.date.issued2008
dc.description.abstractIn this paper, Artificial Neural Network (ANN) technique has been used for the estimation of low order odd current harmonics mainly from input and output measurements of five different chorded induction motors. 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 low order odd current harmonics.
dc.identifier.doidoiWOS:000257699300035
dc.identifier.isbn978-960-6766-56-5
dc.identifier.urihttps://hdl.handle.net/11424/224601
dc.identifier.wosWOS:000257699300035
dc.language.isoeng
dc.publisherWORLD SCIENTIFIC AND ENGINEERING ACAD AND SOC
dc.relation.ispartofPROCEEDINGS OF THE 9TH WSEAS INTERNATIONAL CONFERENCE ON NEURAL NETWORKS (NN' 08): ADVANCED TOPICS ON NEURAL NETWORKS
dc.relation.ispartofseriesArtificial Intelligence Series-WSEAS
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectArtificial Neural Network
dc.subjecttotal harmonic distortion
dc.subjectharmonic estimation
dc.subjectinduction motors
dc.titleEstimation of low order odd current harmonics in short chorded induction motors using Artificial Neural Network
dc.typeconferenceObject
dspace.entity.typePublication
oaire.citation.endPage197
oaire.citation.startPage194
oaire.citation.titlePROCEEDINGS OF THE 9TH WSEAS INTERNATIONAL CONFERENCE ON NEURAL NETWORKS (NN' 08): ADVANCED TOPICS ON NEURAL NETWORKS

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