Please use this identifier to cite or link to this item:
Scopus Web of Science® Altmetric
Type: Conference paper
Title: A comparative study on effective signal processing tools for optimum feature selection in automatic power quality events clustering
Author: Gargoom, A.
Ertugrul, N.
Soong, W.
Citation: Conference Record of the 2005 IEEE Industry Applications Conference (IAS Annual Meeting), Hong Kong / vol. 1, pp. 52-58
Part of: Proceedings of the IEEE Industry Applications Conference 2005
Publisher: IEEE
Publisher Place: CDROM
Issue Date: 2005
Series/Report no.: IEEE Industry Applications Society Annual Meeting
ISBN: 0780392086
ISSN: 0197-2618
Conference Name: IEEE Industry Applications Conference. Annual Meeting (40th : 2005 : Hong Kong)
Statement of
Gargoom, A.M. ; Ertugrul, N. ; Soong, W.L.
Abstract: The paper presents a comparative study to investigate the optimum feature selection using three signal processing techniques for automatic clustering of power quality events. The techniques include the wavelet transform, the S transform, and the newly introduced forward Clarke transform. The last method has the advantage for monitoring all three phases of a three-phase signal simultaneously. The paper provides unique features for each transformation, and then offers a comparative study that is based on the abilities of selected pairs of features to distinguish power quality events. In the paper, the performance of each signal processing technique is studied and an optimum combination of the most useful features is identified.
Description: © Copyright 2005 IEEE
RMID: 0020051478
DOI: 10.1109/IAS.2005.1518291
Appears in Collections:Electrical and Electronic Engineering publications
Environment Institute publications

Files in This Item:
There are no files associated with this item.

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