Identification of wavefronts in Partial Discharge acoustic signals using discrete wavelet transform

Author

Veloso, Giscard F C ; Silva, L. E Borges da ; Noronha, I. ; Lambert-Torres, G.

Author_Institution

Artificial Intell. Applic. Group, GAIA Fed. Univ. at Itajuba, Itajuba

fYear

2008

fDate

June 30 2008-July 2 2008

Firstpage

1003

Lastpage

1008

Abstract

This paper describes a method to discriminate the wavefront of the acoustic signal obtained from partial discharges. The technique used here takes advantage of the wavelet transform in order to extract, in a very precise way, the characteristics related to the desired wavefront. This information is used to locate the source of the partial discharge occurring in oil-insulated power transformers. The methodology to find the correct spot of the partial discharge uses genetic algorithm to solve a set of non-linear equations. Practical results are shown and the methodology is described in detail.

Keywords

acoustic signal processing; discrete wavelet transforms; genetic algorithms; nonlinear equations; partial discharges; power transformers; discrete wavelet transform; genetic algorithm; nonlinear equations; oil-insulated power transformers; partial discharge acoustic signals; wavefront identification; Acoustic propagation; Acoustic sensors; Acoustic signal detection; Acoustic waves; Data mining; Dielectrics and electrical insulation; Discrete wavelet transforms; Partial discharges; Power transformer insulation; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, 2008. ISIE 2008. IEEE International Symposium on

Conference_Location

Cambridge

Print_ISBN

978-1-4244-1665-3

Electronic_ISBN

978-1-4244-1666-0

Type

conf

DOI

10.1109/ISIE.2008.4677219

Filename

4677219