Skip to main content
Article thumbnail
Location of Repository

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

By John Z. Shi, Ali Elshanti, Fengshou Gu and Andrew Ball


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

Topics: TC, TK
Publisher: COMADEM International
Year: 2007
OAI identifier:

Suggested articles


  1. (1976). A survey of design methods for failure detection systems, doi
  2. (2001). Dispelling the rumours about modelbased diagnostics,
  3. (1973). Failure detection in linear systems,
  4. (2005). Fault detection for mordern diesel engines using signal-and process modelbased methods, doi
  5. (1989). Fault diagnosis in dynamic systems, theory and application, doi
  6. (1993). Fault diagnosis of machines via parameter estimation and knowledge processing doi
  7. (1999). Fuzzy-model-based parity equations for fault isolation, doi
  8. (2002). Learning feedback controller design of switching converters via matlab/Simulink, doi
  9. (1996). Linear system theory,
  10. (2005). Model-based fault detection and diagnosis – status and applications, doi
  11. (2002). Model-based fault detection of vehicle suspension and hydraulic brake systems, doi
  12. (2003). Model-based fault diagnosis in dynamic systems using identification techniques, doi
  13. (2000). Model-based fault diagnosis in technical processes, doi
  14. (1984). Process fault detection based on modeling and estimation methods – A survey, doi
  15. (1999). Robust model based fault diagnosis for dynamic systems, doi
  16. (1991). Robust parity space approach to fault detection based on optimal eign-structure assignment,
  17. (1997). Robustness in modelbased fault diagnosis: The doi
  18. (2001). System design through Matlab, control toolbox and Simulink, doi
  19. (1986). System modelling and control,
  20. (1997). Trends in the application of model-based fault detection and diagnosis of technical processes, doi

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.