Title :
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
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;
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
DOI :
10.1109/ICAL.2009.5262709
