dc.creatorNASCIMENTO, Claudionor Francisco do
dc.creatorOLIVEIRA JR., Azauri Albano de
dc.creatorGOEDTEL, Alessandro
dc.creatorSERNI, Paulo Jose Amaral
dc.date.accessioned2012-10-19T01:05:49Z
dc.date.accessioned2018-07-04T14:47:32Z
dc.date.available2012-10-19T01:05:49Z
dc.date.available2018-07-04T14:47:32Z
dc.date.created2012-10-19T01:05:49Z
dc.date.issued2011
dc.identifierAPPLIED SOFT COMPUTING, v.11, n.2, p.2178-2185, 2011
dc.identifier1568-4946
dc.identifierhttp://producao.usp.br/handle/BDPI/17708
dc.identifier10.1016/j.asoc.2010.07.017
dc.identifierhttp://dx.doi.org/10.1016/j.asoc.2010.07.017
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1614506
dc.description.abstractIn this paper, artificial neural networks are employed in a novel approach to identify harmonic components of single-phase nonlinear load currents, whose amplitude and phase angle are subject to unpredictable changes, even in steady-state. The first six harmonic current components are identified through the variation analysis of waveform characteristics. The effectiveness of this method is tested by applying it to the model of a single-phase active power filter, dedicated to the selective compensation of harmonic current drained by an AC controller. Simulation and experimental results are presented to validate the proposed approach. (C) 2010 Elsevier B. V. All rights reserved.
dc.languageeng
dc.publisherELSEVIER SCIENCE BV
dc.relationApplied Soft Computing
dc.rightsCopyright ELSEVIER SCIENCE BV
dc.rightsrestrictedAccess
dc.subjectHarmonic distortion
dc.subjectNeural network application
dc.subjectSingle-phase power system
dc.subjectPower electronics
dc.titleHarmonic identification using parallel neural networks in single-phase systems
dc.typeArtículos de revistas


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