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
fDate :
5/1/2002 12:00:00 AM
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;
Journal_Title :
Generation, Transmission and Distribution, IEE Proceedings-
DOI :
10.1049/ip-gtd:20020119
