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Fuzzy classification based identification of voltage sag via wavelets

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dc.citedby2
dc.contributor.authorMukerjee R.N.en_US
dc.contributor.authorTanggawelu B.en_US
dc.contributor.authorRogers G.J.en_US
dc.contributor.authorSoyat S.en_US
dc.contributor.authorid7003827066en_US
dc.contributor.authorid6504260720en_US
dc.contributor.authorid58715114800en_US
dc.contributor.authorid57189523130en_US
dc.date.accessioned2023-12-28T08:58:02Z
dc.date.available2023-12-28T08:58:02Z
dc.date.issued2002
dc.description.abstractIncreasing awareness of power quality issues, deregulation, use of consumer devices sensitive to power system disturbance and possibility of making up some of the inherent design limitations through monitoring based operational strategies have created a need for extensive monitoring of the power system operation. Voltage disturbance is a common phenomenon in electric power distribution system operation. A fuzzy diagnostic procedure is proposed for detecting cause of voltage disturbance, so that appropriate remedial procedures could be initiated during system operation. The method uses indices like PN factor, characteristic voltage, and zero sequence voltage and also proposes an index termed frequency jump index, extracted from zero sequence voltage using wavelets. � 2002 Nanyang Technological University.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo1201920
dc.identifier.doi10.1109/ICONIP.2002.1201920
dc.identifier.epage2385
dc.identifier.scopus2-s2.0-67650502928
dc.identifier.spage2381
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-67650502928&doi=10.1109%2fICONIP.2002.1201920&partnerID=40&md5=177bd3afde0dab875762787cff03a875
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/29879
dc.identifier.volume5
dc.pagecount4
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age
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.subjectArtificial intelligence
dc.subjectComputer aided analysis
dc.subjectComputer applications
dc.subjectElectric power distribution
dc.subjectElectric power system measurement
dc.subjectExpert systems
dc.subjectFuzzy systems
dc.subjectInformation science
dc.subjectKnowledge based systems
dc.subjectSignal analysis
dc.subjectStandby power systems
dc.subjectWavelet transforms
dc.subjectCharacteristic voltages
dc.subjectElectric power distribution systems
dc.subjectFuzzy classification
dc.subjectOperational strategies
dc.subjectPower distributions
dc.subjectPower system disturbances
dc.subjectPower system operations
dc.subjectZero sequence voltage
dc.subjectMonitoring
dc.titleFuzzy classification based identification of voltage sag via waveletsen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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