Publication:
Designation of harmonic estimation ANN model using experimental data obtained from different produced induction motors

dc.contributor.authorsNogay, H. Selcuk; Birbir, Yasar
dc.contributor.editorDimitrov, DP
dc.contributor.editorMladenov, V
dc.contributor.editorJordanova, S
dc.contributor.editorMastorakis, N
dc.date.accessioned2022-03-12T16:00:10Z
dc.date.accessioned2026-01-11T08:05:03Z
dc.date.available2022-03-12T16:00:10Z
dc.date.issued2008
dc.description.abstractArtificial Neural Network (ANN) technique has been used for the prediction of voltage THD (Total Harmonic Distortion), mainly from input and output measurements of three phase, squirrel cage induction motors fed from a pulse width modulation inverter voltage supply. The induction motors have different construction, different power and produced by different firm. A sinusoidal pulse-width modulation (SPWM) inverter feeding three-phase induction motors were tested up to first thirty harmonic voltage components at different loads. The results show that the artificial neural network model produces reliable estimates of voltage THD.
dc.identifier.doidoiWOS:000257699300036
dc.identifier.isbn978-960-6766-56-5
dc.identifier.urihttps://hdl.handle.net/11424/224609
dc.identifier.wosWOS:000257699300036
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.titleDesignation of harmonic estimation ANN model using experimental data obtained from different produced induction motors
dc.typeconferenceObject
dspace.entity.typePublication
oaire.citation.endPage201
oaire.citation.startPage198
oaire.citation.titlePROCEEDINGS OF THE 9TH WSEAS INTERNATIONAL CONFERENCE ON NEURAL NETWORKS (NN' 08): ADVANCED TOPICS ON NEURAL NETWORKS

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