dc.contributorUniversidade Federal do ABC (UFABC)
dc.contributorUniversidade de São Paulo (USP)
dc.contributorFederal Technological University of Parana - UTFPR-CP
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:24:31Z
dc.date.available2014-05-27T11:24:31Z
dc.date.created2014-05-27T11:24:31Z
dc.date.issued2009-12-01
dc.identifier2009 13th European Conference on Power Electronics and Applications, EPE '09.
dc.identifierhttp://hdl.handle.net/11449/71389
dc.identifier2-s2.0-72949123414
dc.identifier4831789901823849
dc.identifier0000-0002-9984-9949
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.
dc.languageeng
dc.relation2009 13th European Conference on Power Electronics and Applications, EPE '09
dc.rightsAcesso aberto
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 systems
dc.typeActas de congresos


Este ítem pertenece a la siguiente institución