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dc.contributor.authorGómez-de-Gabriel, Jesús Manuel 
dc.contributor.authorMandow, Anthony 
dc.contributor.authorFernández-Lozano, Juan Jesús 
dc.contributor.authorGarcia-Cerezo, Alfonso J. 
dc.date.accessioned2015-08-31T08:09:54Z
dc.date.available2015-08-31T08:09:54Z
dc.date.issued2015
dc.identifier.issn0018-9359
dc.identifier.urihttp://hdl.handle.net/10630/10197
dc.descriptionThis document is a self-archiving copy of the accepted version of the paper. Please find the final published version in IEEEXplore: http://dx.doi.org/10.1109/TE.2014.2358551es_ES
dc.description.abstractThis paper proposes lab work for learning fault detection and diagnosis (FDD) in mechatronic systems. These skills are important for engineering education because FDD is a key capability of competitive processes and products. The intended outcome of the lab work is that students become aware of the importance of faulty conditions and learn to design FDD strategies for a real system. To this end, the paper proposes a lab project where students are requested to develop a discrete event dynamic system (DEDS) diagnosis to cope with two faulty conditions in an autonomous mobile robot task. A sample solution is discussed for LEGO Mindstorms NXT robots with LabVIEW. This innovative practice is relevant to higher education engineering courses related to mechatronics, robotics, or DEDS. Results are also given of the application of this strategy as part of a postgraduate course on fault-tolerant mechatronic systems.es_ES
dc.description.sponsorshipThis work was supported in part by the Spanish CICYT under Project DPI2011-22443.es_ES
dc.language.isoenges_ES
dc.publisherIEEEes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectRobóticaes_ES
dc.titleMobile Robot Lab Project to Introduce Engineering Students to Fault Diagnosis in Mechatronic Systemses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.centroE.T.S.I. Industriales_ES
dc.cclicenseby-nc-ndes_ES


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