Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/59505
Title: Power quality problem classification using support vector machine
Authors: Jatumeth Susukh
Suttichai Premrudeepreechacharn
Tirapong Kasirawat
Authors: Jatumeth Susukh
Suttichai Premrudeepreechacharn
Tirapong Kasirawat
Keywords: Computer Science;Engineering
Issue Date: 22-Oct-2009
Abstract: This paper presents a classification method for power quality problems in electrical power systems. To improve the electric power quality, sources of disturbances must be known and controlled. Power quality disturbance waveform recognition is often troublesome because it involves a broad range of disturbance categories or classes. This is a study of power quality problem classification using support vector machine. After training support vector machine, the parameter of support vector machine is obtained for using to classify the power quality problems. The support vector machine is able to classify 4 types for power quality problems correctly. ©2009 IEEE.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=70350070594&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/59505
Appears in Collections:CMUL: Journal Articles

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


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