Title
Teaching Model-based Fault Detection and Isolation using a Virtual Laboratory Environment
Date Issued
01 January 2020
Access level
metadata only access
Resource Type
conference paper
Author(s)
Publisher(s)
Elsevier B.V.
Abstract
Fault detection and isolation (FDI) systems play a key role to provide efficiency, reliability and safety in today's industrial processes. The teaching of FDI systems is facilitated if it is carried out not only with theoretical lectures but also with practical experiences. This paper proposes a virtual laboratory environment (VLE) to carry out online practical experiences with FDI systems for a benchmark process. Thanks to this VLE, students can set up faults in sensors, actuators or in the process itself, program model-based FDI algorithms and test FDI system performance. The use of this environment is illustrated by testing the performance of FDI systems for the quadruple-tank process (4TP) under different fault scenarios. Finally, the procedure of using this proposal for practical experience with two model-based FDI design methods is shown.
Start page
17350
End page
17355
Volume
53
Issue
2
Language
English
OCDE Knowledge area
Ciencias de la computación
Scopus EID
2-s2.0-85119718421
Source
IFAC-PapersOnLine
Resource of which it is part
IFAC-PapersOnLine
ISSN of the container
24058963
Conference
21st IFAC World Congress 2020
Sources of information: Directorio de Producción Científica Scopus