Comparisons of discrete wavelet transform, wavelet packet transform and stationary wavelet transform in denoising PD measurement data

Author

Zhou, X. ; Zhou, C. ; Stewart, B.G.

Author_Institution

Sch. of Eng., Sci. & Design, Glasgow Caledonian Univ.

fYear

2006

fDate

11-14 June 2006

Firstpage

237

Lastpage

240

Abstract

Noise has been a major limitation to partial discharge (PD) measurement. It is crucial to suppress noise prior to any PD data analysis. Recent research shows that the discrete wavelet transform, wavelet packet transform and stationary wavelet transform techniques have all achieved good effect in noise rejection in PD measurement. This paper compares the effectiveness and computing time required of the three types of wavelet transform methods when applied to simulated PD data in presence of white noise and sinusoidal interference

Keywords

data analysis; discrete wavelet transforms; interference suppression; partial discharge measurement; signal denoising; white noise; PD measurement; discrete wavelet transform; noise suppression; sinusoidal interference; stationary wavelet transform; wavelet packet transform; white noise; Computational modeling; Data analysis; Discrete wavelet transforms; Interference; Noise measurement; Noise reduction; Partial discharge measurement; Partial discharges; Wavelet packets; White noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Insulation, 2006. Conference Record of the 2006 IEEE International Symposium on

Conference_Location

Toronto, Ont.

ISSN

1089-084X

Print_ISBN

1-4244-0333-2

Type

conf

DOI

10.1109/ELINSL.2006.1665301

Filename

1665301