Table of Contents
Advances in Electrical Engineering
Volume 2016, Article ID 8651630, 10 pages
http://dx.doi.org/10.1155/2016/8651630
Research Article

Intelligent Fault Diagnosis in a Power Distribution Network

1Centre for Space Transport and Propulsion, National Space Research and Development Agency (NASRDA), Epe, Lagos, Nigeria
2Department of Electrical and Electronics Engineering, University of Lagos, Lagos, Nigeria

Received 27 June 2016; Revised 15 September 2016; Accepted 26 September 2016

Academic Editor: Pascal Venet

Copyright © 2016 Oluleke O. Babayomi and Peter O. Oluseyi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [1 citation]

The following is the list of published articles that have cited the current article.

  • Oluleke Babayomi, Peter Oluseyi, Godbless Keku, and Nkemdilim A. Ofodile, “Neuro-fuzzy based fault detection identification and location in a distribution network,” 2017 IEEE PES PowerAfrica, pp. 164–168, . View at Publisher · View at Google Scholar