An Intelligent System for Harmonic Distortions Detection in Wind Generator Power Electronic Devices

UDC.coleccionInvestigación
UDC.departamentoEnxeñaría Industrial
UDC.endPage621
UDC.grupoInvCiencia e Técnica Cibernética (CTC)
UDC.institutoCentroCITIC - Centro de Investigación de Tecnoloxías da Información e da Comunicación
UDC.journalTitleNeurocomputing
UDC.startPage609
UDC.volume456
dc.contributor.authorJove, Esteban
dc.contributor.authorGonzález-Cava, José M.
dc.contributor.authorCasteleiro-Roca, José-Luis
dc.contributor.authorAlaiz Moretón, Héctor
dc.contributor.authorBaruque Zanón, Bruno
dc.contributor.authorLeitão, Paulo
dc.contributor.authorMéndez Pérez, Juan Albino
dc.contributor.authorCalvo-Rolle, José Luis
dc.date.accessioned2026-09-29T07:45:16Z
dc.date.available2026-09-29T07:45:16Z
dc.date.issued2021-08-01
dc.description.abstract[Abstract] The high concern about climate change has boosted the promotion of renewable energy systems, being the wind power one of the key generation possibilities in this field. In this context, with the aim of ensuring the energy efficiency, the present work deals with the fault detection in the power electronic circuits of a wind generator system placed in a bioclimatic house. To do so, different outliers that emulate harmonic distortion appearance are tested. To implement a system capable of detecting this anomalous situations, six different one-class techniques are used, whose performance is thoroughly analyzed, offering interesting performance.
dc.description.sponsorshipThis study was supported by CajaCanarias Foundation with the project PR705752 (GreenTourist, 2016TUR17). Jose M. Gonzalez-Cava’s research was supported by the Spanish Ministry of Science, Innovation and Universities (www.ciencia.gob.es) under the “Formación de Profesorado Universitario” grant FPU15/03347.
dc.description.sponsorshipFundación CajaCanarias; 2016TUR17
dc.identifier.citationE. Jove, J.M. González-Cava, J.-L. Casteleiro-Roca, H. Alaiz-Moretón, B. Baruque, P. Leitão, J.A. Méndez Pérez, J.L. Calvo-Rolle, An intelligent system for harmonic distortions detection in wind generator power electronic devices, Neurocomputing 456 (2021) 609–621. https://doi.org/10.1016/j.neucom.2020.07.155.
dc.identifier.doi10.1016/j.neucom.2020.07.155
dc.identifier.issn1872-8286
dc.identifier.urihttps://hdl.handle.net/2183/49494
dc.language.isoeng
dc.publisherElsevier
dc.relation.projectIDinfo:eu-repo/grantAgreement/MECD/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/FPU15%2F03347/ES
dc.relation.urihttps://doi.org/10.1016/J.NEUCOM.2020.07.155
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectEnergy efficiency
dc.subjectWind generator
dc.subjectOne-class
dc.subjectOutlier detection
dc.titleAn Intelligent System for Harmonic Distortions Detection in Wind Generator Power Electronic Devices
dc.typejournal article
dc.type.hasVersionAM
dspace.entity.typePublication
relation.isAuthorOfPublication1d595973-6aec-4018-af6a-0efefe34c0b5
relation.isAuthorOfPublication25775b34-f56e-4b1b-80bb-820eadda6ed0
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relation.isAuthorOfPublication.latestForDiscovery1d595973-6aec-4018-af6a-0efefe34c0b5

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