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
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;
Conference_Titel :
Power System Technology, 2002. Proceedings. PowerCon 2002. International Conference on
Print_ISBN :
0-7803-7459-2
DOI :
10.1109/ICPST.2002.1047130
