dc.contributor | Universidade Federal do ABC (UFABC) | |
dc.contributor | Universidade de São Paulo (USP) | |
dc.contributor | Federal Technological University of Parana - UTFPR-CP | |
dc.contributor | Universidade Estadual Paulista (Unesp) | |
dc.date.accessioned | 2014-05-27T11:24:31Z | |
dc.date.available | 2014-05-27T11:24:31Z | |
dc.date.created | 2014-05-27T11:24:31Z | |
dc.date.issued | 2009-12-01 | |
dc.identifier | 2009 13th European Conference on Power Electronics and Applications, EPE '09. | |
dc.identifier | http://hdl.handle.net/11449/71389 | |
dc.identifier | 2-s2.0-72949123414 | |
dc.identifier | 4831789901823849 | |
dc.identifier | 0000-0002-9984-9949 | |
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. | |
dc.language | eng | |
dc.relation | 2009 13th European Conference on Power Electronics and Applications, EPE '09 | |
dc.rights | 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 | |
dc.type | Actas de congresos | |