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Author Hui Ma ♦ Junhyuck Seo ♦ Saha, T. ♦ Chan, J. ♦ Martin, D.
Sponsorship IEEE Dielectr. Electr. Insul. Soc.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2013
Language English
Subject Keyword Partial discharges ♦ Discharges (electric) ♦ Fault location ♦ Classification algorithms ♦ Support vector machines ♦ Discrete wavelet transforms
Abstract Continuous Partial discharge (PD) monitoring can help assess the integrity of transformer insulation system. Over the past few decades, various aspects of PD techniques have been investigated. Current research of PD focuses on multiple PD sources classification, which aims to identify the types of several defects that may coexist in a transformer and cause discharge. This paper develops a hybrid discrete wavelet transform (DWT) and support vector machine (SVM) algorithm targeting multiple PD sources classification. To evaluate the performance of this algorithm, experiments on a number of artificial PD models and transformers are conducted in the paper.
Description Author affiliation: Univ. of Queensland, Brisbane, QLD, Australia (Hui Ma; Junhyuck Seo; Saha, T.; Chan, J.; Martin, D.)
ISBN 9781479925971
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2013-10-20
Publisher Place China
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 1.08 MB
Page Count 4
Starting Page 1193
Ending Page 1196

Source: IEEE Xplore Digital Library