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dc.rights.licenseAttribution-NonCommercial 4.0 International*
dc.contributor.authorGarramiola Aldai, Fernando
dc.contributor.authorPoza Lobo, Francisco Javier
dc.contributor.authorOlmo Larrañaga, Jon del
dc.contributor.otherNieva, T.
dc.date.accessioned2020-06-04T07:35:18Z
dc.date.available2020-06-04T07:35:18Z
dc.date.issued2019
dc.identifier.issn2051-3305en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=152538en
dc.identifier.urihttp://hdl.handle.net/20.500.11984/1675
dc.description.abstractFault mode and effects analysis (FMEA) has been used during decades for analysing the effects of faults in different applications. Initially, FMEA based on risk priority numbers provided information about the effects in the system, but during the last years different approaches have been developed to obtain a more robust risk evaluation. The proposed enhanced FMEA can provide the quantitative effects of sensor faults in a railway traction drive, in variables such as torque, current and voltages. In addition to the previous work, quantitative effects on overall performance indicators, such as energy efficiency and comfort, are obtained too. Hardware-in-the-loop (HIL)-based fault injection approach has been used to generate fault scenarios. The test platform is composed of a real-time simulator and a commercial traction control unit for a railway application.en
dc.description.sponsorshipCAF Power & Automationes
dc.language.isoengen
dc.publisherIETen
dc.rights© The Authorsen
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectFailure analysisen
dc.subjectRailwaysen
dc.subjectTraction motor drivesen
dc.subjectRisk analysisen
dc.subjectClosed loop systemsen
dc.subjectFault diagnosisen
dc.subjectTractionen
dc.titleHardware-in-the-loop performance analysis of a railway traction system under sensor faultsen
dc.typeinfo:eu-repo/semantics/articleen
dcterms.accessRightsinfo:eu-repo/semantics/openAccessen
dcterms.sourceThe Journal of Engineeringen
dc.description.versioninfo:eu-repo/semantics/publishedVersionen
local.contributor.groupEnergía eléctricaes
local.description.peerreviewedtrueen
local.description.publicationfirstpage3797en
local.description.publicationlastpage3781en
local.identifier.doihttp://dx.doi.org/10.1049/joe.2018.8249en
local.relation.projectIDDiagnóstico Inteligente de Sistemas de Potencia Ferroviarios CPA-DIAGFEen
local.rights.publicationfeeAPCen
local.rights.publicationfeeamount1150 USDen
local.contributor.otherinstitutionCaf Power & Automation S.L.es
local.source.detailsVol. 2019. Nº. 17. Pp. 3797–3801. June, 2019eu_ES


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Attribution-NonCommercial 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial 4.0 International