By Topic

Wavelet-based signal processing for disturbance classification and measurement

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Gaouda, A.M. ; Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada ; Kanoun, S.H. ; Salama, M.M.A. ; Chikhani, A.Y.

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

Published in:

Generation, Transmission and Distribution, IEE Proceedings-  (Volume:149 ,  Issue: 3 )