Extraction of partial discharge signals in power transformer using complex wavelet

Author

Feng, Guihong ; Ji, Feng ; Zhang, Bingyi

Author_Institution

Dept. of Electr. Eng., Shenyang Univ. of Technol., Shenyang, China

fYear

2009

fDate

5-7 Aug. 2009

Firstpage

1568

Lastpage

1571

Abstract

This paper presents an approach to extract partial discharge (PD) in power transformer by complex wavelet. A method of optimal complex wavelet selection was used based on the similarity between the wavelet and PD signals. The selected complex wavelet can be used to extract features of PD signal from signals which with strong disturbance and noise. The simulation results show that the complex wavelet method can significantly improve the feature extraction in PD signal processing in power transformer.

Keywords

feature extraction; partial discharge measurement; power transformers; signal processing; wavelet transforms; feature extraction; optimal complex wavelet selection; partial discharge signal extraction; partial discharge signal processing; power transformer; Capacitance; Feature extraction; Frequency; Partial discharges; Power transformers; Signal analysis; Signal processing; Voltage; Wavelet analysis; Wavelet transforms; complex wavelet; partial discharge; power transformer;

fLanguage

English

Publisher

ieee

Conference_Titel

Automation and Logistics, 2009. ICAL '09. IEEE International Conference on

Conference_Location

Shenyang

Print_ISBN

978-1-4244-4794-7

Electronic_ISBN

978-1-4244-4795-4

Type

conf

DOI

10.1109/ICAL.2009.5262709

Filename

5262709