Second wavelet transform automated threshold for partial discharge signal extraction

Author

Hong-Xia, Luo ; Xue-Feng, Zhang ; Tian-Yun, Li

Author_Institution

Huali Coll., Guangdong Univ. of Technol., Guangzhou, China

fYear

2011

fDate

27-29 May 2011

Firstpage

225

Lastpage

228

Abstract

Automated threshold algorithm of second wavelet transform is used in extraction of partial discharge. Exponential damping or exponential damping oscillating etc. two kinds of partial discharges are used in numeric simulation, and effectiveness of extraction of partial discharge is studied. Simulation results show that wavelet transform can effectively extract partial discharge from random noise because it has multi-resolution, and second wavelet transform reserves more features of original partial discharge than conventional de-noise method of first wavelet transform. The method process swift, and it is adaptive to dispose on line.

Keywords

feature extraction; partial discharges; signal denoising; wavelet transforms; automated threshold algorithm; de-noise method; exponential damping oscillating; partial discharge signal extraction; random noise; second wavelet transform; Interference; Narrowband; Noise; Partial discharges; Wavelet analysis; Wavelet transforms; automated threshold; partial discharge; second wavelet transform; signal extraction;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on

Conference_Location

Xi´an

Print_ISBN

978-1-61284-485-5

Type

conf

DOI

10.1109/ICCSN.2011.6013700

Filename

6013700