By Topic

Application of near perfect reconstruction filter banks in power quality disturbances classification methods

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
$33 $13
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)
Ljubica Koleva ; Faculty of electrical engineering and information technologies, Ss Cyril and Methodius University - Skopje, Skopje, Macedonia ; Dimitar Taskovski ; Aleksandar Milchevski ; Vladimir Dimchev

The wavelet transform has been successfully used in the area of power quality analysis. There are many published papers with methods for power quality disturbances classification or harmonic measurement, which use wavelet transform. However, the properties of the wavelet transform can drastically vary from the choice of the wavelet. In this paper we analyze the influence of choice of the wavelet to the accuracy of the PQ classification methods. We test two classification methods with wavelets of frequently used families and support sizes. Also, we introduce near perfect reconstruction filter banks. The simulation results indicate that the Johnston's filters are a good choice, especially in the presence of noise.

Published in:

Applied Measurements for Power Systems (AMPS), 2012 IEEE International Workshop on

Date of Conference:

26-28 Sept. 2012