A neural networks-based method for single-phase harmonic content identification

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorUniversidade de São Paulo (USP)
dc.contributorUTFPR-CP
dc.date.accessioned2014-05-27T11:23:43Z
dc.date.available2014-05-27T11:23:43Z
dc.date.created2014-05-27T11:23:43Z
dc.date.issued2008-12-01
dc.identifierProceedings - 34th Annual Conference of the IEEE Industrial Electronics Society, IECON 2008, p. 2690-2695.
dc.identifier1553-572X
dc.identifierhttp://hdl.handle.net/11449/70670
dc.identifier10.1109/IECON.2008.4758383
dc.identifierWOS:000266229301211
dc.identifier2-s2.0-63149119263
dc.description.abstractA neural method is presented in this paper to identify the harmonic components of an ac controller. The components are identified by analyzing the single-phase current waveform. The method effectiveness is verified by applying it to an active power filter (APF) model dedicated to the selective harmonic compensation. Simulation results using theoretical and experimental data are presented to validate the proposed approach. © 2008 IEEE.
dc.languageeng
dc.relationProceedings - 34th Annual Conference of the IEEE Industrial Electronics Society, IECON 2008
dc.rightsAcesso aberto
dc.sourceScopus
dc.subjectActive filters
dc.subjectElectric filters
dc.subjectHarmonic analysis
dc.subjectIndustrial electronics
dc.subjectActive power filters
dc.subjectExperimental datum
dc.subjectHarmonic components
dc.subjectHarmonic contents
dc.subjectPhase currents
dc.subjectSelective harmonic compensations
dc.subjectSimulation results
dc.subjectNeural networks
dc.titleA neural networks-based method for single-phase harmonic content identification
dc.typeActas de congresos


Este ítem pertenece a la siguiente institución