Harmonics filtering and detection of disturbances using wavelets


Autoria(s): Alves, Alceu F.; da Costa, P.; Fraga, Jose R P; Pires, Francisca Ap C
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

27/05/2014

27/05/2014

01/12/1999

Resumo

Traditional 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.

Formato

1168-1173

Identificador

http://dx.doi.org/10.1109/ISIE.1999.796861

IEEE International Symposium on Industrial Electronics, v. 3, p. 1168-1173.

http://hdl.handle.net/11449/65957

10.1109/ISIE.1999.796861

2-s2.0-0033345682

Idioma(s)

eng

Relação

IEEE International Symposium on Industrial Electronics

Direitos

closedAccess

Palavras-Chave #Electric waveforms #Harmonic analysis #Set theory #Signal filtering and prediction #Signal theory #Waveform analysis #Wavelet transforms #Current waveforms #Disturbance detection #Harmonics filtering #Nonsinusoidal current signal #Wavelet theory #Waveshape #Signal distortion
Tipo

info:eu-repo/semantics/conferencePaper