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A Desk-top tutorial Demonstration of Model-based Fault Detection and Diagnosis

Shi, John Z., Elshanti, Ali, Gu, Fengshou and Ball, Andrew (2007) A Desk-top tutorial Demonstration of Model-based Fault Detection and Diagnosis. International Journal of COMADEM, 10 (4). pp. 23-31. ISSN 1363-7681

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Abstract

In this paper, a demonstration on the model-based approach for fault detection has been presented. The aim of this demo is to provide students a desk-top tool to start learning model-based approach. The demo works on a traditional three-tank system. After a short review of the model-based approach, this paper emphasizes on two difficulties often asked by students when they start learning model-based approach: how to develop a system model and how to generate residual for fault detection. The demo represents the three-tank system in the Simulink environment so that no hardware is really needed. Faults such as tank leakages, connecting pipe blockage and sensor failure are also simulated in the virtual way by means of different switches. Different residual generation approaches are implemented using this desk-top demonstration. Consequently, students will gain an objective view and practical understanding of the model-based approach works and its procedure in industrial implementation.

Item Type: Article
Additional Information: Reproduced by kind permission of International Journal of COMADEM
Subjects: T Technology > TC Hydraulic engineering. Ocean engineering
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Schools: School of Computing and Engineering
School of Computing and Engineering > Automotive Engineering Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre
School of Computing and Engineering > Diagnostic Engineering Research Centre > Energy, Emissions and the Environment Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre > Machinery Condition and Performance Monitoring Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group
School of Computing and Engineering > High-Performance Intelligent Computing
School of Computing and Engineering > High-Performance Intelligent Computing > Information and Systems Engineering Group
Related URLs:
Depositing User: Zhanqun Shi
Date Deposited: 13 Jul 2009 10:57
Last Modified: 08 Dec 2010 13:21
URI: http://eprints.hud.ac.uk/id/eprint/4357

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