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dc.contributor.authorAlves, Alceu F. [UNESP]
dc.contributor.authorda Costa, P. [UNESP]
dc.contributor.authorFraga, Jose R P [UNESP]
dc.contributor.authorPires, Francisca Ap C [UNESP]
dc.identifier.citationIEEE International Symposium on Industrial Electronics, v. 3, p. 1168-1173.
dc.description.abstractTraditional 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.en
dc.relation.ispartofIEEE International Symposium on Industrial Electronics
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.subjectSignal distortion
dc.titleHarmonics filtering and detection of disturbances using waveletsen
dc.typeTrabalho apresentado em evento
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.description.affiliationUniversidade Estadual Paulista - UNESP, Bauru
dc.description.affiliationUnespUniversidade Estadual Paulista - UNESP, Bauru
dc.rights.accessRightsAcesso restrito
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Engenharia, Baurupt
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