A new methodology of fault location for predictive maintenance of transmission lines

dc.contributor.authorRenatha N. da Silva, Paulaes-ES
dc.date.accessioned2016-01-15T11:16:43Z
dc.date.available2016-01-15T11:16:43Z
dc.date.issued2012-11-01
dc.descriptionArtículos en revistas
dc.description.abstractThis paper presents a new methodology for monitoring, in real-time, the conditions of the insulation of an power transmission line, detecting and locating anomalies in its operation, before the supply of power is interrupted, thus allowing for preventive maintenance. This method uses the harmonic decomposition of the leakage current to analyze the condition of line insulation and employs a neural network to locate the fault. Experimental measurements were obtained to validate the simulated results.es-ES
dc.description.versioninfo:eu-repo/semantics/publishedVersion
dc.format.mimetypeapplication/pdf
dc.identifier.issn0142-0615
dc.identifier.urihttps://doi.org/10.1016/j.ijepes.2012.04.057
dc.keywordsFault location, harmonic decomposition, leakage current, transmission line, artificial neural networkses-ES
dc.language.isoen-GB
dc.rightses_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.holderes_ES
dc.rights.uries_ES
dc.sourceRevista: International Journal of Electrical Power & Energy Systems, Periodo: 1, Volumen: online, Número: 1, Página inicial: 568, Página final: 574
dc.subject.otherInstituto de Investigación Tecnológica (IIT)
dc.titleA new methodology of fault location for predictive maintenance of transmission lines
dc.typeinfo:eu-repo/semantics/article

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