By Topic

Partial discharge pattern recognition of XLPE cable connector based on support vector machine

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Xinyu Ji ; Sch. of Electr. & Electron. Eng., North China Electr. Power Univ., Baoding, China ; Yanqing Li ; Zijian Wang ; Fa Wang
more authors

According to the characteristics of partial discharge of XLPE cable connector, a method based on support vector machine for Pattern Recognition is proposed in this paper. Six statistical operators, which include skewness, steepness, discharge factor, phase asymmetry, cross-correlation coefficient, and the modified cross-correlation coefficient, are considered as characteristic quantities. This paper describes a three-dimensional map structure of partial discharge, elaborates the extraction process of characteristic quantities, and analyses the basic principles based on support vector machines in detail. Finally, four kinds of typical partial discharge models are simulated in laboratory, and the experimental results show that the method is feasible and has significant effect.

Published in:

Electrical and Control Engineering (ICECE), 2011 International Conference on

Date of Conference:

16-18 Sept. 2011