DocumentCode :
1758358
Title :
Mobile Robot Lab Project to Introduce Engineering Students to Fault Diagnosis in Mechatronic Systems
Author :
Gomez-de-Gabriel, Jesus Manuel ; Mandow, Anthony ; Fernandez-Lozano, Jesus ; Garcia-Cerezo, Alfonso
Author_Institution :
Dept. de Ing. de Sist. y Autom., Univ. de Malaga, Malaga, Spain
Volume :
58
Issue :
3
fYear :
2015
fDate :
Aug. 2015
Firstpage :
187
Lastpage :
193
Abstract :
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.
Keywords :
control engineering education; discrete event systems; educational courses; electronic engineering education; fault diagnosis; fault tolerant control; further education; mechanical engineering; mechatronics; mobile robots; virtual instrumentation; DEDS diagnosis; FDD learning; LEGO Mindstorms NXT robots; LabVIEW; autonomous mobile robot task; competitive process; discrete event dynamic system diagnosis; engineering education; engineering students; fault detection-and-diagnosis learning; fault-tolerant mechatronic systems; faulty conditions; higher education engineering courses; mobile robot lab project; postgraduate course; real system; Education; Fault tolerance; Mechatronics; Mobile robots; Navigation; Robot sensing systems; Engineering education; LEGO Mindstorms NXT; LabVIEW; fault detection and diagnosis; higher education; mechatronics; mobile robots; project-based learning;
fLanguage :
English
Journal_Title :
Education, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9359
Type :
jour
DOI :
10.1109/TE.2014.2358551
Filename :
6914629
Link To Document :
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