By Topic

Fault detection in a series compensated transmission line using discrete wavelet transform and independent component analysis: A comparative study

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 $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)
Dubeya, H.C. ; Dept. of Electron. & Commun. Eng., Motilal Nehru Nat. Inst. of Technol., Allahabad, India ; Mohanty, S.R. ; Kishor, N. ; Ray, P.K.

In this paper, a discrete wavelet transform (DWT) and independent component analysis (ICA) based approach is proposed for fault detection in a series compensated transmission line. The different types of faults are created using MATLAB/Simulink and the faulty negative sequence component of current signal is extracted using sequence analyzer. The negative sequence current signal is passed through DWT and ICA for detecting the faults under both no-noise and 20 dB noise scenarios. Further, performance indices (PI) like standard deviation (STD) and energy content are determined to validate the graphical results. Both graphical and PI results show the efficacy of ICA under noisy condition.

Published in:

Power Engineering and Optimization Conference (PEOCO), 2011 5th International

Date of Conference:

6-7 June 2011