Publication:
Detection and identification of voltage disturbances via clustering and wavelets

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dc.citedby2
dc.contributor.authorMukerjee R.N.en_US
dc.contributor.authorTanggawelu B.en_US
dc.contributor.authorAriffin A.E.en_US
dc.contributor.authorBasha A.en_US
dc.contributor.authorid7003827066en_US
dc.contributor.authorid6504260720en_US
dc.contributor.authorid6701641670en_US
dc.contributor.authorid56973894000en_US
dc.date.accessioned2023-12-28T08:58:19Z
dc.date.available2023-12-28T08:58:19Z
dc.date.issued2002
dc.description.abstractUse of consumer devices sensitive to power system disturbances, the increasing awareness of power quality issues and deregulation have created a need for extensive monitoring of the power system operation. In electric power distribution system operation, voltage disturbance is a common phenomenon. A fuzzy diagnostic technique is suggested for detecting the cause of voltage disturbance, so that appropriate remedial procedures could be initiated during system operation. The method uses indices like PN factor, characteristic voltage, zero sequence voltage and also proposes an index termed characteristic frequency, extracted from zero sequence voltage using wavelets. � 2002 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo1053517
dc.identifier.doi10.1109/ICPST.2002.1053517
dc.identifier.epage129
dc.identifier.scopus2-s2.0-84973454185
dc.identifier.spage125
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84973454185&doi=10.1109%2fICPST.2002.1053517&partnerID=40&md5=c6b2f134866791b3daf9e183536f370d
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/29930
dc.identifier.volume1
dc.pagecount4
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitlePowerCon 2002 - 2002 International Conference on Power System Technology, Proceedings
dc.subjectComputer aided analysis
dc.subjectComputer applications
dc.subjectExpert systems
dc.subjectFuzzy systems
dc.subjectKnowledge based systems
dc.subjectPower distribution
dc.subjectPower system monitoring
dc.subjectPower systems
dc.subjectSignal analysis
dc.subjectWavelet transforms
dc.subjectComputer aided analysis
dc.subjectComputer applications
dc.subjectElectric power distribution
dc.subjectElectric power system measurement
dc.subjectExpert systems
dc.subjectFuzzy systems
dc.subjectKnowledge based systems
dc.subjectSignal analysis
dc.subjectStandby power systems
dc.subjectWavelet transforms
dc.subjectCharacteristic frequencies
dc.subjectCharacteristic voltages
dc.subjectDetection and identifications
dc.subjectDiagnostic techniques
dc.subjectElectric power distribution systems
dc.subjectPower distributions
dc.subjectPower system disturbances
dc.subjectPower system operations
dc.subjectMonitoring
dc.titleDetection and identification of voltage disturbances via clustering and waveletsen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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