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Campo DC | Valor | Lengua/Idioma |
---|---|---|
dc.contributor.author | Renatha N. da Silva, Paula | es-ES |
dc.contributor.author | Max L.C. Negrão, Martín | es-ES |
dc.contributor.author | Vieira Júnior, Petrônio | es-ES |
dc.contributor.author | Sanz Bobi, Miguel Ángel | es-ES |
dc.date.accessioned | 2016-01-15T11:16:43Z | - |
dc.date.available | 2016-01-15T11:16:43Z | - |
dc.date.issued | 2012-11-01 | es_ES |
dc.identifier.issn | 0142-0615 | es_ES |
dc.identifier.uri | https:doi.org10.1016j.ijepes.2012.04.057 | es_ES |
dc.description | Artículos en revistas | es_ES |
dc.description.abstract | es-ES | |
dc.description.abstract | This 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. | en-GB |
dc.format.mimetype | application/pdf | es_ES |
dc.language.iso | en-GB | es_ES |
dc.rights | es_ES | |
dc.rights.uri | es_ES | |
dc.source | Revista: International Journal of Electrical Power & Energy Systems, Periodo: 1, Volumen: online, Número: 1, Página inicial: 568, Página final: 574 | es_ES |
dc.subject.other | Instituto de Investigación Tecnológica (IIT) | es_ES |
dc.title | A new methodology of fault location for predictive maintenance of transmission lines | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.description.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/restrictedAccess | es_ES |
dc.keywords | es-ES | |
dc.keywords | Fault location, harmonic decomposition, leakage current, transmission line, artificial neural networks | en-GB |
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Fichero | Descripción | Tamaño | Formato | |
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IIT-12-050A.pdf | 1,1 MB | Adobe PDF | Visualizar/Abrir Request a copy |
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