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Separation of radio-frequency sources and localization of partial discharges in noisy environments

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dc.affiliation.dptoUC3M. Departamento de Ingeniería Eléctricaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Diagnóstico de Máquinas Eléctricas y Materiales Aislantes (DIAMAT)es
dc.contributor.authorRobles Muñoz, Guillermo
dc.contributor.authorFresno de Marcos, José Manuel
dc.contributor.authorMartínez Tarifa, Juan Manuel
dc.date.accessioned2019-01-17T10:33:51Z
dc.date.available2019-01-17T10:33:51Z
dc.date.issued2015-04-27
dc.description.abstractThe detection of partial discharges (PD) can help in early-warning detection systems to protect critical assets in power systems. The radio-frequency emission of these events can be measured with antennas even when the equipment is in service which reduces dramatically the maintenance costs and favours the implementation of condition-based monitoring systems. The drawback of these type of measurements is the difficulty of having a reference signal to study the events in a classical phase-resolved partial discharge pattern (PRPD). Therefore, in open-air substations and overhead lines where interferences from radio and TV broadcasting and mobile communications are important sources of noise and other pulsed interferences from rectifiers or inverters can be present, it is difficult to identify whether there is partial discharges activity or not. This paper proposes a robust method to separate the events captured with the antennas, identify which of them are partial discharges and localize the piece of equipment that is having problems. The separation is done with power ratio (PR) maps based on the spectral characteristics of the signal and the identification of the type of event is done localizing the source with an array of four antennas. Several classical methods to calculate the time differences of arrival (TDOA) of the emission to the antennas have been tested, and the localization is done using particle swarm optimization (PSO) to minimize a distance function.en
dc.description.sponsorshipTests were done in the High-Voltage Research and Test Laboratory (LINEALT) at Universidad Carlos III de Madrid.en
dc.format.extent18
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationRobles, G., Fresno, J. M., Martínez-Tarifa, J.M. (2015). Separation of Radio-Frequency Sources and Localization of Partial Discharges in Noisy Environments. Sensors, 15 (5), pp. 9882-9898.en
dc.identifier.doihttps://doi.org/10.3390/s150509882
dc.identifier.issn1424-8220
dc.identifier.publicationfirstpage9882
dc.identifier.publicationissue5
dc.identifier.publicationlastpage9898
dc.identifier.publicationtitleSensorsen
dc.identifier.publicationvolume15
dc.identifier.urihttp://hdl.handle.net/10016/27926
dc.identifier.uxxiAR/0000017094
dc.language.isoengen
dc.publisherMDPIen
dc.rights© 2015 by the authors; licensee MDPI, Basel, Switzerland.en
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.ecienciaIngeniería Industriales
dc.subject.ecienciaMaterialeses
dc.subject.otherPartial dischargesen
dc.subject.otherSpectral poweren
dc.subject.otherCondition Monitoringen
dc.subject.otherRF Measurementsen
dc.subject.otherRF Localizationen
dc.subject.otherParticle swarm optimizationen
dc.titleSeparation of radio-frequency sources and localization of partial discharges in noisy environmentsen
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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