Classification fault events using wavelet transform and expert rules

This paper presents a classification faults 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 cla...

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Main Authors: Nattapong Praditphol, Suttichai Premrudeepreechacharn
格式: Conference Proceeding
出版: 2018
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/59536
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機構: Chiang Mai University
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spelling th-cmuir.6653943832-595362018-09-10T03:16:55Z Classification fault events using wavelet transform and expert rules Nattapong Praditphol Suttichai Premrudeepreechacharn Energy This paper presents a classification faults 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 fault events classification using wavelet transformation and expert rule base. Rule base is obtained for using to classify the power quality problems. The combined wavelet transformation with expert rule is able to classify all 4 types of fault events correctly. 2018-09-10T03:16:55Z 2018-09-10T03:16:55Z 2009-12-01 Conference Proceeding 2-s2.0-77954795856 10.1109/NAPS.2009.5483982 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77954795856&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/59536
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Energy
spellingShingle Energy
Nattapong Praditphol
Suttichai Premrudeepreechacharn
Classification fault events using wavelet transform and expert rules
description This paper presents a classification faults 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 fault events classification using wavelet transformation and expert rule base. Rule base is obtained for using to classify the power quality problems. The combined wavelet transformation with expert rule is able to classify all 4 types of fault events correctly.
format Conference Proceeding
author Nattapong Praditphol
Suttichai Premrudeepreechacharn
author_facet Nattapong Praditphol
Suttichai Premrudeepreechacharn
author_sort Nattapong Praditphol
title Classification fault events using wavelet transform and expert rules
title_short Classification fault events using wavelet transform and expert rules
title_full Classification fault events using wavelet transform and expert rules
title_fullStr Classification fault events using wavelet transform and expert rules
title_full_unstemmed Classification fault events using wavelet transform and expert rules
title_sort classification fault events using wavelet transform and expert rules
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77954795856&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/59536
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