Partial discharge sources classification of power transformer using pattern recognition techniques

Ma, Hui, Seo, Junhyuck, Saha, Tapan K., Chan, Jeffery and Martin, Daniel (2013). Partial discharge sources classification of power transformer using pattern recognition techniques. In: 2013 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP). 2013 Annual Report Conference on Electrical Insulation and Dielectric Phenomena, Chenzhen, China, (1193-1196). 20-23 October 2013. doi:10.1109/CEIDP.2013.6747430

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Author Ma, Hui
Seo, Junhyuck
Saha, Tapan K.
Chan, Jeffery
Martin, Daniel
Title of paper Partial discharge sources classification of power transformer using pattern recognition techniques
Conference name 2013 Annual Report Conference on Electrical Insulation and Dielectric Phenomena
Conference location Chenzhen, China
Conference dates 20-23 October 2013
Proceedings title 2013 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP)   Check publisher's open access policy
Journal name Annual Report - Conference on Electrical Insulation and Dielectric Phenomena, CEIDP   Check publisher's open access policy
Place of Publication Piscataway, NJ, United States
Publisher IEEE
Publication Year 2013
Year available 2013
Sub-type Fully published paper
DOI 10.1109/CEIDP.2013.6747430
Open Access Status
ISBN 9781479925971
ISSN 0084-9162
Start page 1193
End page 1196
Total pages 4
Collection year 2014
Language eng
Abstract/Summary 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.
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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Created: Wed, 12 Mar 2014, 12:13:11 EST by Ms Dulcie Stewart on behalf of Scholarly Communication and Digitisation Service