Optimal sampling rate for wavelet-based denoising in PD measurement

Author

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

Author_Institution

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

fYear

2004

fDate

19-22 Sept. 2004

Firstpage

147

Lastpage

150

Abstract

Extracting PD pulses from excessively noisy environment has been a crucial issue in PD on-line measurement. DWT as a powerful mathematical tool has proven its effectiveness in PD measurement denoising. The paper presents a method on how to achieve an improved denoising effect at an optimal sampling rate in DWT. It reveals the relationship between the sampling rate and the frequency band in wavelet analysis and contrasts the distribution of a PD signal and white noise along the decomposition levels. A set of 3 PD pulses produced by a narrow band detector immersed in white noise are processed at different sampling rates to verify the effectiveness of the proposed method.

Keywords

discrete wavelet transforms; partial discharge measurement; signal denoising; white noise; DWT; PD measurement; discrete wavelet transforms; mathematical tools; partial discharge measurement; sampling rates; wavelet-based denoising; white noise; Discrete wavelet transforms; Frequency; Noise reduction; Pulse measurements; Sampling methods; Signal analysis; Signal sampling; Wavelet analysis; White noise; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Insulation, 2004. Conference Record of the 2004 IEEE International Symposium on

ISSN

1089-084X

Print_ISBN

0-7803-8447-4

Type

conf

DOI

10.1109/ELINSL.2004.1380494

Filename

1380494