Fault identification in distribution lines using intelligent systems and statistical methods

dc.contributorELEKTRO Electricity Company
dc.contributorUniversidade de São Paulo (USP)
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:22:03Z
dc.date.available2014-05-27T11:22:03Z
dc.date.created2014-05-27T11:22:03Z
dc.date.issued2006-12-01
dc.identifierProceedings of the Mediterranean Electrotechnical Conference - MELECON, v. 2006, p. 1122-1125.
dc.identifierhttp://hdl.handle.net/11449/69247
dc.identifier10.1109/MELCON.2006.1653297
dc.identifier2-s2.0-34047139584
dc.identifier4517057121462258
dc.description.abstractThe main objective involved with this paper consists of presenting the results obtained from the application of artificial neural networks and statistical tools in the automatic identification and classification process of faults in electric power distribution systems. The developed techniques to treat the proposed problem have used, in an integrated way, several approaches that can contribute to the successful detection process of faults, aiming that it is carried out in a reliable and safe way. The compilations of the results obtained from practical experiments accomplished in a pilot distribution feeder have demonstrated that the developed techniques provide accurate results, identifying and classifying efficiently the several occurrences of faults observed in the feeder. © 2006 IEEE.
dc.languageeng
dc.relationProceedings of the Mediterranean Electrotechnical Conference - MELECON
dc.rightsAcesso aberto
dc.sourceScopus
dc.subjectElectric lines
dc.subjectElectric power distribution
dc.subjectIntelligent systems
dc.subjectNeural networks
dc.subjectStatistical methods
dc.subjectDistribution lines
dc.subjectFault identification
dc.subjectElectric fault currents
dc.titleFault identification in distribution lines using intelligent systems and statistical methods
dc.typeActas de congresos


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