Issues of Fault Diagnosis for Dynamic Systems

1. Front Matter

   Pages I-XXV

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2. Introduction

   • R. J. Patton, P. M. Frank, R. N. Clark

   Pages 1-13

3. Integration of Fault Detection and Diagnosis Methods

   • Rolf Isermann

   Pages 15-49

4. Observability and Redundancy Decomposition Application to Diagnosis

   • José Ragot, Didier Maquin, Frédéric Kratz

   Pages 51-85

5. Fault Detection and Isolation for Linear Systems Using Detection Observers

   • Chongzhi Fang, Wei Ge, Deyun Xiao

   Pages 87-114

6. Fault Detection and Isolation for Descriptor Systems

   • Ming Hou

   Pages 115-144

7. Robust Observer-Based Fault Diagnosis in Non-Linear Uncertain Systems

   • Ralf Seliger, Paul M. Frank

   Pages 145-187

8. Uncertainty Modelling and Robust Fault Diagnosis for Dynamic Systems

   • Ron J. Patton, Jie Chen

   Pages 189-218

9. Reliability Models for Sensor Fault Detection with State-Estimator Schemes

   • Dirk van Schrick, Peter C. Müller

   Pages 219-244

10. A Structural Framework for the Design of FDI System in Large Scale Industrial Plants

    • M. Staroswiecki, J. P. Cassar, P. Declerck

    Pages 245-283

11. Structured Parity Equations in Fault Detection and Isolation

    • Janos J. Gertler

    Pages 285-313

12. Input Design for Change Detection

    • Feza Kerestecioğlu, Martin B. Zarrop

    Pages 315-338

13. On-Line Detection and Diagnosis of Sensor and Process Faults in Nuclear Power Plants

    • Johannes Prock

    Pages 339-377

14. Application of Sensor Fault Classification Algorithms to a Benson Steam Boiler

    • Kristian Kroschel, Andreas Wernz

    Pages 379-411

15. Detection of Events in Signals Via the Model-Based Fault Diagnosis Approach: Application to Bio-Electrical Signals

    • Dominique Sauter, Thierry Cecchin, David Brie

    Pages 413-434

16. A Study on Fault-Tolerant Integrated Navigation Systems

    • Hong-Yue Zhang, Han-Guo Zhang, Jie Chen, Ron J. Patton, Bruce K. Walker

    Pages 435-460

17. A Hierarical Structure for On-Line Process Fault Diagnosis Based on Deep Qualitative Modelling

    • Jie Zhang, Peter D. Roberts

    Pages 461-483

18. Fault Diagnosis Based on a Predicate Logic Description of Dynamical Systems

    • Jan Lunze, Frank Schiller

    Pages 485-515

19. Monitoring and Diagnosis of Fermentation Processes

    • Kouamana Bousson, Jean-Philippe Steyer, Boutaib Dahhou, Louise Travé-Massuyès

    Pages 517-546

20. Process Monitoring and Fault Detection Using Multivariate SPC

    • E. B. Martin, A. J. Morris

    Pages 547-565

Since the time our first book Fault Diagnosis in Dynamic Systems: The­ ory and Applications was published in 1989 by Prentice Hall, there has been a surge in interest in research and applications into reliable methods for diag­ nosing faults in complex systems. The first book sold more than 1,200 copies and has become the main text in fault diagnosis for dynamic systems. This book will follow on this excellent record by focusing on some of the advances in this subject, by introducing new concepts in research and new application topics. The work cannot provide an exhaustive discussion of all the recent research in fault diagnosis for dynamic systems, but nevertheless serves to sample some of the major issues. It has been valuable once again to have the co-operation of experts throughout the world working in industry, gov­ emment establishments and academic institutions in writing the individual chapters. Sometimes dynamical systems have associated numerical models available in state space or in frequency domain format. When model infor­ mation is available, the quantitative model-based approach to fault diagnosis can be taken, using the mathematical model to generate analytically redun­ dant alternatives to the measured signals. When this approach is used, it becomes important to try to understand the limitations of the mathematical models i. e. , the extent to which model parameter variations occur and the effect of changing the systems point of operation.

• Monitoring
• Normal
• Signal
• actor
• algorithms
• logic
• modeling
• sensor
• complexity

• School of Engineering, University of Hull, East Yorkshire, UK

  Ron J. Patton

• GH Duisberg, FB9/MRT, Gerhard-Mercator Universität, Duisberg, Germany

  Paul M. Frank

• Department of Aeronautics and Astronautics, University of Washington, Seattle, USA

  Robert N. Clark

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