DocumentCode
383896
Title
Automated feature extraction from power system transients using wavelet transform
Author
Xu, X. ; Kezunovic, M.
Author_Institution
Texas A&M Univ., College Station, TX, USA
Volume
4
fYear
2002
fDate
2002
Firstpage
1994
Abstract
Feature extraction plays an important role for event detection and classification. In this paper, an automated feature extraction method based on wavelet packet transform and best basis algorithm has been proposed. The problem of shift invariance has also been discussed.
Keywords
feature extraction; power system analysis computing; power system transients; wavelet transforms; best basis algorithm; event classification; event detection; feature extraction automation; power system transients; shift invariance; wavelet packet transform; Continuous wavelet transforms; Discrete wavelet transforms; Feature extraction; Frequency; Power system transients; Signal analysis; Transient analysis; Wavelet analysis; Wavelet packets; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Power System Technology, 2002. Proceedings. PowerCon 2002. International Conference on
Print_ISBN
0-7803-7459-2
Type
conf
DOI
10.1109/ICPST.2002.1047130
Filename
1047130
Link To Document