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dc.contributor.authorAcho Zuppa, Leonardo
dc.contributor.authorBuenestado Caballero, Pablo
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Matemàtiques
dc.date.accessioned2018-04-13T12:27:03Z
dc.date.available2018-04-13T12:27:03Z
dc.date.issued2018-04-11
dc.identifier.citationAcho, L., Buenestado, P. A wind turbine blade damage detection system based on data analysis: an academic example on the use of histograms. "Renewable Energy and Power Quality Journal", 11 Abril 2018, vol. 1, núm. 16, p. 505-509.
dc.identifier.issn2172-038X
dc.identifier.otherhttp://www.icrepq.com/icrepq18/365-18-acho.pdf
dc.identifier.urihttp://hdl.handle.net/2117/116254
dc.description.abstractThe main objective of this paper is to introduce an academic example on the use of histograms to develop a wind turbine blade fault (or damage) detection system. This approach merely uses data analysis obtained from a generated wind turbine power. Then, and based on the power curve of a wind turbine, histograms are obtained, first, for the healthy wind turbine operation, and then, for two cases on faulty wind turbine operations. By comparing them, a faulty behaviour of a wind turbine is detectable. Finally, according to our numerical example, the proposed technique seems a realistic case to students on the statistic and probability fields as a useful academic example.
dc.format.extent5 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Energies
dc.subject.lcshWind turbines
dc.subject.otherBlade Wind Turbine
dc.subject.otherData Analysis
dc.subject.otherHistograms
dc.subject.otherFault Detection System
dc.titleA wind turbine blade damage detection system based on data analysis: an academic example on the use of histograms
dc.typeArticle
dc.subject.lemacTurbines
dc.subject.lemacAnàlisi de dades
dc.contributor.groupUniversitat Politècnica de Catalunya. CoDAlab - Control, Modelització, Identificació i Aplicacions
dc.contributor.groupUniversitat Politècnica de Catalunya. STH - Sostenibilitat, Tecnologia i Humanisme
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.icrepq.com/RE&PQJ-16-0.htm
dc.rights.accessOpen Access
local.identifier.drac22319573
dc.description.versionPostprint (published version)
local.citation.authorAcho, L.; Buenestado, P.
local.citation.publicationNameRenewable Energy and Power Quality Journal
local.citation.volume1
local.citation.number16
local.citation.startingPage505
local.citation.endingPage509


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