Automated feature extraction from power system transients using wavelet transform Conference Paper

abstract

• 2002 IEEE. 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.

name of conference

• Proceedings. International Conference on Power System Technology

authors

• Kezunovic, Mladen

published proceedings

• POWERCON 2002: INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY, VOLS 1-4, PROCEEDINGS

author list (cited authors)

• Xu, X., & Kezunovic, M.

citation count

• 20

complete list of authors

• Xu, X||Kezunovic, M

publication date

• January 2002

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

keywords

• Extraction
• Feature
• Power System Transients
• Power Systems
• Wavelet Transforms

Digital Object Identifier (DOI)

• 10.1109/icpst.2002.1047130

International Standard Book Number (ISBN) 10

• 0-7803-7459-2

International Standard Book Number (ISBN) 13

• 9780780374591

start page

• 1994

end page

• 1998

volume

• 4

URL

• http://dx.doi.org/10.1109/icpst.2002.1047130