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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/71389
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dc.contributor.authorNascimento, Claudionor F.-
dc.contributor.authorOliveira Jr., Azauri A.-
dc.contributor.authorGoedtel, Alessandro-
dc.contributor.authorSerni, Paulo J. A.-
dc.contributor.authorOliveira Da Silva, Sergio A.-
dc.date.accessioned2014-05-27T11:24:31Z-
dc.date.accessioned2016-10-25T18:27:57Z-
dc.date.available2014-05-27T11:24:31Z-
dc.date.available2016-10-25T18:27:57Z-
dc.date.issued2009-12-01-
dc.identifierhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5278752-
dc.identifier.citation2009 13th European Conference on Power Electronics and Applications, EPE '09.-
dc.identifier.urihttp://hdl.handle.net/11449/71389-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/71389-
dc.description.abstractAn alternative method is presented in this paper to identify the harmonic components of non-linear loads in single phase power systems based on artificial neural networks. The components are identified by analyzing the single phase current waveform in time domain in half-cycle of the ac voltage source. The proposed method is compared to the fast Fourier transform. Simulation and experimental results are presented to validate the proposed approach.en
dc.language.isoeng-
dc.sourceScopus-
dc.subjectConverter circuits-
dc.subjectHarmonics-
dc.subjectNeural network-
dc.subjectPower quality-
dc.subjectSingle phase system-
dc.subjectAC voltage source-
dc.subjectAlternative methods-
dc.subjectArtificial Neural Network-
dc.subjectHarmonic components-
dc.subjectHarmonic contents-
dc.subjectNonlinear load-
dc.subjectSingle phase current-
dc.subjectSingle phase power systems-
dc.subjectTime domain-
dc.subjectElectric converters-
dc.subjectElectric measuring instruments-
dc.subjectElectric power transmission networks-
dc.subjectFast Fourier transforms-
dc.subjectHarmonic analysis-
dc.subjectPhotolithography-
dc.subjectPower electronics-
dc.subjectNeural networks-
dc.titleHarmonic content identification based on neural method for single phase power systemsen
dc.typeoutro-
dc.contributor.institutionUniversidade Federal do ABC (UFABC)-
dc.contributor.institutionUniversidade de São Paulo (USP)-
dc.contributor.institutionFederal Technological University of Parana - UTFPR-CP-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationFederal University of ABC - UFABC-CECS, Rua Santa Adelia 166, CEP 09210-170 Santo Andre SP-
dc.description.affiliationUniversity of Sao Paulo - EESC-USP-
dc.description.affiliationFederal Technological University of Parana - UTFPR-CP-
dc.description.affiliationSao Paulo State University - UNESP-FE-
dc.description.affiliationUnespSao Paulo State University - UNESP-FE-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartof2009 13th European Conference on Power Electronics and Applications, EPE '09-
dc.identifier.scopus2-s2.0-72949123414-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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