On teaching model-based fault diagnosis in engineering curricula
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Data publicació2016-02-01
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Abstract
This article presents an example of how a fault-diagnosis course has been included in an engineering curricula in a motivating way, in particular, in the automatic control and robotic master's degree program at UPC. This article also shows how a PBL methodology has been used in the lab sessions to introduce students to model-based fault diagnosis. With this methodology, a real-world problem is used to increase students' interest and at the same time help them to acquire and apply new knowledge in a problem-solving context. Observerand parity-equations-based methods for fault detection and structured residuals for fault isolation are introduced to the students from a practical point of view by lab exercises. The course also motivates the interest in fault diagnosis as a first step toward the design of a fault-tolerant control system. Assessment results and student surveys carried out before and after the application of the PBL methodology confirm the increase of interest and fulfillment of the SLOs.
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© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
CitacióCosta-Castelló, R., Puig, V., Blesa, J. On teaching model-based fault diagnosis in engineering curricula. "IEEE control systems magazine", 1 Febrer 2016, vol. 36, núm. 1, p. 53-62.
ISSN1066-033X
Col·leccions
- ACES - Control Avançat de Sistemes d'Energia - Articles de revista [194]
- SIC - Sistemes Intel·ligents de Control - Articles de revista [133]
- Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial - Articles de revista [1.391]
- SAC - Sistemes Avançats de Control - Articles de revista [507]
- IRI - Institut de Robòtica i Informàtica Industrial, CSIC-UPC - Articles de revista [376]
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