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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jatumeth Susukh | en_US |
dc.contributor.author | Suttichai Premrudeepreechacharn | en_US |
dc.contributor.author | Tirapong Kasirawat | en_US |
dc.date.accessioned | 2018-09-10T03:16:23Z | - |
dc.date.available | 2018-09-10T03:16:23Z | - |
dc.date.issued | 2009-10-22 | en_US |
dc.identifier.other | 2-s2.0-70350070594 | en_US |
dc.identifier.other | 10.1109/ECTICON.2009.5136965 | en_US |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=70350070594&origin=inward | en_US |
dc.identifier.uri | http://cmuir.cmu.ac.th/jspui/handle/6653943832/59505 | - |
dc.description.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. | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Engineering | en_US |
dc.title | Power quality problem classification using support vector machine | en_US |
dc.type | Conference Proceeding | en_US |
article.title.sourcetitle | 2009 6th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2009 | en_US |
article.volume | 1 | en_US |
article.stream.affiliations | Provincial Electricity Authority (PEA) | en_US |
article.stream.affiliations | Chiang Mai University | en_US |
Appears in Collections: | CMUL: Journal Articles |
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