Publicação: Harmonic content identification based on neural method for single phase power systems
dc.contributor.author | Nascimento, Claudionor F. | |
dc.contributor.author | Oliveira Jr., Azauri A. | |
dc.contributor.author | Goedtel, Alessandro | |
dc.contributor.author | Serni, Paulo J. A. [UNESP] | |
dc.contributor.author | Oliveira Da Silva, Sergio A. | |
dc.contributor.institution | Universidade Federal do ABC (UFABC) | |
dc.contributor.institution | Universidade de São Paulo (USP) | |
dc.contributor.institution | Federal Technological University of Parana - UTFPR-CP | |
dc.contributor.institution | Universidade Estadual Paulista (Unesp) | |
dc.date.accessioned | 2014-05-27T11:24:31Z | |
dc.date.available | 2014-05-27T11:24:31Z | |
dc.date.issued | 2009-12-01 | |
dc.description.abstract | An 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.description.affiliation | Federal University of ABC - UFABC-CECS, Rua Santa Adelia 166, CEP 09210-170 Santo Andre SP | |
dc.description.affiliation | University of Sao Paulo - EESC-USP | |
dc.description.affiliation | Federal Technological University of Parana - UTFPR-CP | |
dc.description.affiliation | Sao Paulo State University - UNESP-FE | |
dc.description.affiliationUnesp | Sao Paulo State University - UNESP-FE | |
dc.identifier | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5278752 | |
dc.identifier.citation | 2009 13th European Conference on Power Electronics and Applications, EPE '09. | |
dc.identifier.lattes | 4831789901823849 | |
dc.identifier.orcid | 0000-0002-9984-9949 | |
dc.identifier.scopus | 2-s2.0-72949123414 | |
dc.identifier.uri | http://hdl.handle.net/11449/71389 | |
dc.language.iso | eng | |
dc.relation.ispartof | 2009 13th European Conference on Power Electronics and Applications, EPE '09 | |
dc.rights.accessRights | Acesso aberto | |
dc.source | Scopus | |
dc.subject | Converter circuits | |
dc.subject | Harmonics | |
dc.subject | Neural network | |
dc.subject | Power quality | |
dc.subject | Single phase system | |
dc.subject | AC voltage source | |
dc.subject | Alternative methods | |
dc.subject | Artificial Neural Network | |
dc.subject | Harmonic components | |
dc.subject | Harmonic contents | |
dc.subject | Nonlinear load | |
dc.subject | Single phase current | |
dc.subject | Single phase power systems | |
dc.subject | Time domain | |
dc.subject | Electric converters | |
dc.subject | Electric measuring instruments | |
dc.subject | Electric power transmission networks | |
dc.subject | Fast Fourier transforms | |
dc.subject | Harmonic analysis | |
dc.subject | Photolithography | |
dc.subject | Power electronics | |
dc.subject | Neural networks | |
dc.title | Harmonic content identification based on neural method for single phase power systems | en |
dc.type | Trabalho apresentado em evento | |
dcterms.license | http://www.ieee.org/publications_standards/publications/rights/rights_policies.html | |
dspace.entity.type | Publication | |
unesp.author.lattes | 4831789901823849[4] | |
unesp.author.orcid | 0000-0002-9984-9949[4] |