Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/59505
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dc.contributor.authorJatumeth Susukhen_US
dc.contributor.authorSuttichai Premrudeepreechacharnen_US
dc.contributor.authorTirapong Kasirawaten_US
dc.date.accessioned2018-09-10T03:16:23Z-
dc.date.available2018-09-10T03:16:23Z-
dc.date.issued2009-10-22en_US
dc.identifier.other2-s2.0-70350070594en_US
dc.identifier.other10.1109/ECTICON.2009.5136965en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=70350070594&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/59505-
dc.description.abstractThis 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.en_US
dc.subjectComputer Scienceen_US
dc.subjectEngineeringen_US
dc.titlePower quality problem classification using support vector machineen_US
dc.typeConference Proceedingen_US
article.title.sourcetitle2009 6th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2009en_US
article.volume1en_US
article.stream.affiliationsProvincial Electricity Authority (PEA)en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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