Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/44429
Citations
Scopus Web of Science® Altmetric
?
?
Type: Journal article
Title: Investigation of effective automatic recognition systems of power-quality events
Author: Gargoom, A.
Ertugrul, N.
Soong, W.
Citation: IEEE Transactions on Power Delivery, 2007; 22(4):2319-2326
Publisher: IEEE-Inst Electrical Electronics Engineers Inc
Issue Date: 2007
ISSN: 0885-8977
Statement of
Responsibility: 
Gargoom, A.M.; Ertugrul, N.; Soong, W.L.
Abstract: There is a need to analyze power-quality (PQ) signals and to extract their distinctive features to take preventative actions in power systems. This paper offers an effective solution to automatically classify PQ signals using Hilbert and Clarke Transforms as new feature extraction techniques. Both techniques accommodate Nearest Neighbor Technique for automatic recognition of PQ events. The Hilbert transform is introduced as single-phase monitoring technique, while with the Clarke Transformation all the three-phases can be monitored simultaneously. The performance of each technique is compared with the most recent techniques (S-Transform and Wavelet Transform) using an extensive number of simulated PQ events that are divided into nine classes. In addition, the paper investigates the optimum selection of number of neighbors to minimize the classification errors in Nearest Neighbor Technique.
Description: Copyright © 2007 IEEE. All Rights Reserved.
RMID: 0020073055
DOI: 10.1109/TPWRD.2007.905424
Appears in Collections:Electrical and Electronic Engineering publications
Environment Institute publications

Files in This Item:
File Description SizeFormat 
hdl_44429.pdf906.08 kBPublisher's PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.