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Detection of partial discharge sources using UHF sensors and blind signal separation

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dc.affiliation.dptoUC3M. Departamento de Tecnología Electrónicaes
dc.affiliation.dptoUC3M. Departamento de Ingeniería Eléctricaes
dc.affiliation.dptoUC3M. Departamento de Teoría de la Señal y Comunicacioneses
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Redes y Sistemas de Energía Eléctrica (REDES)es
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Diagnóstico de Máquinas Eléctricas y Materiales Aislantes (DIAMAT)es
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Machine Learning for Data Science (ML4DS)es
dc.contributor.authorBoya Lara, Carlos Alan
dc.contributor.authorRobles Muñoz, Guillermo
dc.contributor.authorParrado Hernández, Emilio
dc.contributor.authorRuiz Llata, Marta
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.date.accessioned2023-10-17T14:39:30Z
dc.date.available2023-10-17T14:39:30Z
dc.date.issued2017-11-15
dc.description.abstractThe measurement of the emitted electromagnetic energy in the UHF region of the spectrum allows the detection of partial discharges and, thus, the on-line monitoring of the condition of the insulation of electrical equipment. Unfortunately, determining the affected asset is difficult when there are several simultaneous insulation defects. This paper proposes the use of an independent component analysis (ICA) algorithm to separate the signals coming from different partial discharge (PD) sources. The performance of the algorithm has been tested using UHF signals generated by test objects. The results are validated by two automatic classification techniques: support vector machines and similarity with class mean. Both methods corroborate the suitability of the algorithm to separate the signals emitted by each PD source even when they are generated by the same type of insulation defect.en
dc.description.sponsorshipThis work has been funded by the Spanish Government through projects TEC2014-52289R and DPI2015-66478-C2-1 (MINECO/FEDER, UE). Carlos Boya acknowledges a doctoral grant sponsored by the National Secretariat for Science, Technology, and Innovation of the Republic of Panama (SENACYT). Tests and measurements have been conducted in the High-voltage Laboratory of the University Carlos III of Madrid.en
dc.format.extent13es
dc.identifier.bibliographicCitationBoya, C., Robles, G., Parrado-Hernández, E., & Ruiz-Llata, M. (2017). Detection of partial discharge sources using UHF sensors and blind signal separation. Sensors, 17(11), 2625.en
dc.identifier.doihttps://doi.org/10.3390/s17112625
dc.identifier.issn1424-3210
dc.identifier.publicationfirstpage1es
dc.identifier.publicationissue11, 2625es
dc.identifier.publicationlastpage13es
dc.identifier.publicationtitleSensorsen
dc.identifier.publicationvolume17es
dc.identifier.urihttps://hdl.handle.net/10016/38617
dc.identifier.uxxiAR/0000022234
dc.language.isoenges
dc.publisherMDPIen
dc.relation.projectIDGobierno de España. TEC2014-52289-Res
dc.relation.projectIDGobierno de España. DPI2015-66478-C2-1-Res
dc.rights© 2017 by the authors. Licensee MDPI, Basel, Switzerland.en
dc.rightsAtribución 3.0 España*
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subject.ecienciaElectrónicaes
dc.subject.ecienciaInformáticaes
dc.subject.ecienciaIngeniería Industriales
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherBlind source separationen
dc.subject.otherElectric insulationen
dc.subject.otherPartial dischargesen
dc.subject.otherUhf detectionen
dc.titleDetection of partial discharge sources using UHF sensors and blind signal separationen
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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