RT Journal Article
T1 Mobile Robot Lab Project to Introduce Engineering Students to Fault Diagnosis in Mechatronic Systems
A1 Gómez-de-Gabriel, Jesús Manuel
A1 Mandow, Anthony
A1 Fernández-Lozano, Juan Jesús
A1 García-Cerezo, Alfonso José
K1 Robótica
AB This 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.
PB IEEE
SN 0018-9359
YR 2015
FD 2015
LK http://hdl.handle.net/10630/10197
UL http://hdl.handle.net/10630/10197
LA eng
NO This 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.2014.2358551
NO This work was supported in part by the Spanish CICYT under Project DPI2011-22443.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026