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dc.rights.licenseAttribution 4.0 International*
dc.contributor.authorGarramiola Aldai, Fernando
dc.contributor.authorDel Olmo, Jon
dc.contributor.authorPoza Lobo, Francisco Javier
dc.contributor.authorMadina Hernández, Patxi
dc.contributor.authorAlmandoz Larralde, Gaizka
dc.description.abstractDue to the importance of sensors in control strategy and safety, early detection of faults in sensors has become a key point to improve the availability of railway traction drives. The presented sensor fault reconstruction is based on sliding mode observers and equivalent injection signals, and it allows detecting defective sensors and isolating faults. Moreover, the severity of faults is provided. The proposed on-board fault reconstruction has been validated in a hardware-in-the-loop platform, composed of a real-time simulator and a commercial traction control unit for a tram. Low computational resources, robustness to measurement noise, and easiness to tune are the main requirements for industrial acceptance. As railway applications are not safety-critical systems, compared to aerospace applications, a fault evaluation procedure is proposed, since there is enough time to perform diagnostic tasks. This procedure analyses the fault reconstruction in the steady state, delaying the decision-making in some seconds, but minimising false detections.
dc.description.sponsorshipThe authors are thankful to the colleagues from CAF Power and Automation, who provided material and expertise that greatly assisted the research.eu_ES
dc.publisherMDPI AGeu_ES
dc.rights© 2018 by the authors. Licensee MDPI, Basel, Switzerland
dc.subjectsensor fault diagnosiseu_ES
dc.subjectfault detection and isolationeu_ES
dc.subjectfault injectioneu_ES
dc.subjectrailway traction driveeu_ES
dc.subjectsliding mode observereu_ES
dc.titleDC-Link Voltage and Catenary Current Sensors Fault Reconstruction for Railway Traction Driveseu_ES
local.contributor.groupEnergía eléctricaeu_ES
local.source.detailsVol. 18. Nº 7. Special Issue: Sensors for Fault Detection. 22 June 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