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dc.rights.licenseAttribution 4.0 International*
dc.contributor.authorGarramiola Aldai, Fernando
dc.contributor.authorDel Olmo, Jon
dc.contributor.authorMadina Hernández, Patxi
dc.contributor.authorAlmandoz Larralde, Gaizka
dc.contributor.authorPoza Lobo, Francisco Javier
dc.date.accessioned2018-10-24T12:36:17Z
dc.date.available2018-10-24T12:36:17Z
dc.date.issued2018
dc.identifier.issn1424-8220eu_ES
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=147662eu_ES
dc.identifier.urihttp://hdl.handle.net/20.500.11984/1104
dc.description.abstractDue to the increasing importance of reliability and availability of electric traction drives in Railway applications, early detection of faults has become an important key for Railway traction drive manufacturers. Sensor faults are important sources of failures. Among the different fault diagnosis approaches, in this article an integral diagnosis strategy for sensors in traction drives is presented. Such strategy is composed of an observer-based approach for direct current (DC)-link voltage and catenary current sensors, a frequency analysis approach for motor current phase sensors and a hardware redundancy solution for speed sensors. None of them requires any hardware change requirement in the actual traction drive. All the fault detection and isolation approaches have been validated in a Hardware-in-the-loop platform comprising a Real Time Simulator and a commercial Traction Control Unit for a tram. In comparison to safety-critical systems in Aerospace applications, Railway applications do not need instantaneous detection, and the diagnosis is validated in a short time period for reliable decision. Combining the different approaches and existing hardware redundancy, an integral fault diagnosis solution is provided, to detect and isolate faults in all the sensors installed in the traction drive.eu_ES
dc.description.sponsorshipThis research work was supported by CAF Power & Automation. The authors are thankful to the colleagues from CAF Power & Automation, who provided material and expertise that greatly assisted the research.eu_ES
dc.language.isoengeu_ES
dc.publisherMDPI AGeu_ES
dc.rights© 2018 by the authorseu_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectsensor fault diagnosiseu_ES
dc.subjectdiagnostic observereu_ES
dc.subjectfault injectioneu_ES
dc.subjectrailway traction driveeu_ES
dc.subjectfrequency analysiseu_ES
dc.titleIntegral Sensor Fault Detection and Isolation for Railway Traction Driveeu_ES
dc.typeinfo:eu-repo/semantics/articleeu_ES
dcterms.accessRightsinfo:eu-repo/semantics/openAccesseu_ES
dcterms.sourceSensorseu_ES
dc.description.versioninfo:eu-repo/semantics/publishedVersioneu_ES
local.contributor.groupEnergía eléctricaeu_ES
local.description.peerreviewedtrueeu_ES
local.identifier.doihttp://dx.doi.org/10.3390/s18051543eu_ES
local.source.detailsVol. 18. Nº 5. 1543. Special Issue: Sensors for Fault Detection), 2018eu_ES


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