Harmonics filtering and detection of disturbances using wavelets

dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorAlves, Alceu F.
dc.creatorda Costa, P.
dc.creatorFraga, Jose R P
dc.creatorPires, Francisca Ap C
dc.date2014-05-27T11:19:49Z
dc.date2016-10-25T18:16:01Z
dc.date2014-05-27T11:19:49Z
dc.date2016-10-25T18:16:01Z
dc.date1999-12-01
dc.date.accessioned2017-04-06T00:55:26Z
dc.date.available2017-04-06T00:55:26Z
dc.identifierIEEE International Symposium on Industrial Electronics, v. 3, p. 1168-1173.
dc.identifierhttp://hdl.handle.net/11449/65957
dc.identifierhttp://acervodigital.unesp.br/handle/11449/65957
dc.identifier10.1109/ISIE.1999.796861
dc.identifier2-s2.0-0033345682
dc.identifierhttp://dx.doi.org/10.1109/ISIE.1999.796861
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/887606
dc.descriptionTraditional mathematical tools, like Fourier Analysis, have proven to be efficient when analyzing steady-state distortions; however, the growing utilization of electronically controlled loads and the generation of a new dynamics in industrial environments signals have suggested the need of a powerful tool to perform the analysis of non-stationary distortions, overcoming limitations of frequency techniques. Wavelet Theory provides a new approach to harmonic analysis, focusing the decomposition of a signal into non-sinusoidal components, which are translated and scaled in time, generating a time-frequency basis. The correct choice of the waveshape to be used in decomposition is very important and discussed in this work. A brief theoretical introduction on Wavelet Transform is presented and some cases (practical and simulated) are discussed. Distortions commonly found in industrial environments, such as the current waveform of a Switched-Mode Power Supply and the input phase voltage waveform of motor fed by inverter are analyzed using Wavelet Theory. Applications such as extracting the fundamental frequency of a non-sinusoidal current signal, or using the ability of compact representation to detect non-repetitive disturbances are presented.
dc.languageeng
dc.relationIEEE International Symposium on Industrial Electronics
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectElectric waveforms
dc.subjectHarmonic analysis
dc.subjectSet theory
dc.subjectSignal filtering and prediction
dc.subjectSignal theory
dc.subjectWaveform analysis
dc.subjectWavelet transforms
dc.subjectCurrent waveforms
dc.subjectDisturbance detection
dc.subjectHarmonics filtering
dc.subjectNonsinusoidal current signal
dc.subjectWavelet theory
dc.subjectWaveshape
dc.subjectSignal distortion
dc.titleHarmonics filtering and detection of disturbances using wavelets
dc.typeOtro


Este ítem pertenece a la siguiente institución