DocumentCode
758584
Title
Wavelet-based signal processing for disturbance classification and measurement
Author
Gaouda, A.M. ; Kanoun, S.H. ; Salama, M.M.A. ; Chikhani, A.Y.
Author_Institution
Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada
Volume
149
Issue
3
fYear
2002
fDate
5/1/2002 12:00:00 AM
Firstpage
310
Lastpage
318
Abstract
A systematic method for analysing power system disturbances in the wavelet domain is described. Wavelet domain capabilities in detection, classification and measurements of various power system disturbances are presented. The distortion event is mapped into the wavelet domain and extracted from the measured signal. The duration of the distortion is measured in a noisy environment and its energy and RMS value evaluated. The proposed algorithm is applied to various power system disturbances
Keywords
fault location; power supply quality; power system faults; power system measurement; signal processing; wavelet transforms; RMS value; distortion event; disturbance classification; disturbance detection; disturbance measurement; energy; noisy environment; power quality analysis; power system disturbances; wavelet domain; wavelet-based signal processing;
fLanguage
English
Journal_Title
Generation, Transmission and Distribution, IEE Proceedings-
Publisher
iet
ISSN
1350-2360
Type
jour
DOI
10.1049/ip-gtd:20020119
Filename
1007432
Link To Document