Fault Diagnosis: Models, Artificial Intelligence, Applications

This comprehensive work presents the status and likely development of fault diagnosis, which has become an emerging discipline of modern control engineering. It covers the fundamentals of model-based fault diagnosis in a wide context relevant to industrial engineers and scientists as well as academics pursuing the reliability and fault detection issues of safety-critical industrial processes. The wide scope of the book provides graduate and postgraduate students of control and mechanical engineering or system sciences with a good introduction to the theoretical foundation and many basic approaches of fault detection, while providing useful bibliographical information. It is a valuable reference book and practical help for industrial control engineers who are in charge of the improvement and safety of the technical control systems, condition-based maintenance and repair, or of the design of fault tolerant control systems.

Table of Contents:
1. Introduction.- 2. Models in the diagnostics of processes.- 3. Process diagnostics methodology.- 4. Methods of signal analysis.- 5. Control theory methods in designing diagnostic systems.- 6. Optimal detection observers based on eigenstructure assignment.- 7. Robust H?-optimal synthesis of FDI systems.- 8. Evolutionary methods in designing diagnostic systems.- 9. Artificial neural networks in fault diagnosis.- 10. Parametric and neural network Wiener and Hammerstein models in fault detection and isolation.- 11. Application of fuzzy logic to diagnostics.- 12. Observers and genetic programming in the identification and fault diagnosis of non-linear dynamic systems.- 13. Genetic algorithms in the multi-objective optimisation of fault detection observers.- 14. Pattern recognition approach to fault diagnostics.- 15. Expert systems in technical diagnostics.- 16. Selected methods of knowledge engineering in systems diagnosis.- 17. Methods of acqusition of diagnostic knowledge.- 18. State monitoring algorithms for complex dynamic systems.- 19. Diagnostics of industrial processes in decentralised structures.- 20. Detection and isolation of manoeuvres in adaptive tracking filtering based on multiple model switching.- 21. Detecting and locating leaks in transmission pipelines.- 22. Models in the diagnostics of processes.- 23. Diagnostic systems.

Review :
From the reviews of the first edition: "This is an extremely full treatment of its topic, with a total of 23 chapters by different groups of authors ! . 'The book on hand is one of the few comprehensive works on the market covering the fundamentals of model-based fault diagnosis ! '. This is an impressively comprehensive and well-prepared work. Each chapter begins with an introduction and ends with a summary, and is followed by an extensive list of references." (Alex M. Andrew, Kybernetes, Vol. 34 (5), 2005) "This book presents descriptions of modern diagnosis methods which are based on control engineering. ! the goal of the book is to present in a coherent way various research methods ! . The book contains most of the modern control methods which are used in fault diagnosis and wide bibliographical information. The book is a good introduction to fault diagnosis and may be very useful for students, post graduate students, engineers and scientists who deal with industrial control systems to guarantee their safety." (Yuri N. Sankin, Zentralblatt MATH, Vol. 1074, 2005)