Wavelet Packet Denoising for On-Line Partial Discharge Detection in High Voltage Systems

Author

Kyprianou, A. ; Georghiou, G.E.

Author_Institution

Dept. of Mech. & Manuf. Eng., Cyprus Univ., Nicosia

fYear

2005

fDate

27-29 June 2005

Firstpage

1184

Lastpage

1189

Abstract

Partial discharge (PD) measurements taken on-line are severely affected by noise due to external disturbances. In this paper a powerful noise reduction technique is employed to isolate the PDs from the noise. This technique is based on a wavelet packet denoising algorithm. A brief description of the wavelet packet theory as an extension of the multiresolution analysis is given. Results of the application of this algorithm on low signal to noise PD signals corrupted with noise, are presented, demonstrating substantial improvement in the signal recovery with minimum shape distortion

Keywords

condition monitoring; high-voltage engineering; multidimensional signal processing; partial discharge measurement; power engineering; power transmission reliability; signal denoising; wavelet transforms; external disturbance; high voltage systems; multiresolution analysis; noise reduction; online partial discharge detection; partial discharge measurements; partial discharge signal; shape distortion; signal recovery; wavelet packet denoising; wavelet packet theory; Multi-stage noise shaping; Multiresolution analysis; Noise measurement; Noise reduction; Partial discharge measurement; Partial discharges; Shape; Voltage; Wavelet analysis; Wavelet packets;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control, 2005. Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation

Conference_Location

Limassol

ISSN

2158-9860

Print_ISBN

0-7803-8936-0

Type

conf

DOI

10.1109/.2005.1467183

Filename

1467183