A Novel Method of Selecting Complex Wavelet for Feature Extraction in Partial Discharge Signal Processing Conference Paper

abstract

• This paper presents an efficient method for selecting optimal complex wavelet from a family of wavelets for feature extraction in partial discharge signal (PDS) processing. The optimal wavelet can be used to extract features of PDS from signals with strong disturbance and noise. Specifically, the optimal complex wavelet is selected based on the phase-spectrum similarity between the wavelet and the PDS. The simulation results show that the selected optimal wavelet can significantly improve the PDS feature extraction. This capability has potential to improve the accuracy of real-time monitoring of PDS in power systems. 2008 IEEE.

name of conference

• 2008 Congress on Image and Signal Processing

authors

• Huang, Tingwen

published proceedings

• 2008 Congress on Image and Signal Processing

author list (cited authors)

• Cui, X., & Huang, T.

citation count

• 4

complete list of authors

• Cui, Xuemei||Huang, Tingwen

publication date

• January 2008

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

Digital Object Identifier (DOI)

• 10.1109/cisp.2008.787

International Standard Book Number (ISBN) 13

• 9780769531199

start page

• 128

end page

• 131

volume

• 1