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
Format:	Conference Proceeding
Published:	2018
Subjects:	Energy
Online Access:	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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Institution:	Chiang Mai University

id	th-cmuir.6653943832-59536
record_format	dspace
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
_version_	1681425269482586112

Classification fault events using wavelet transform and expert rules

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