Fault Diagnosis

1. Front Matter

   Pages I-XXIX

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2. Methodology

   1. Front Matter

      Pages 1-1

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   2. Introduction

      • Wojciech Cholewa, Jan Maciej Kościelny

      Pages 3-27

   3. Models in the Diagnostics of Processes

      • Jan Maciej Kościelny

      Pages 29-58

   4. Process Diagnostics Methodology

      • Jan Maciej Kościelny

      Pages 59-117

   5. Methods of Signal Analysis

      • Wojciech Cholewa, Józef Korbicz, Wojciech Moczulski, Anna Timofiejczuk

      Pages 119-153

   6. Control Theory Methods in Designing Diagnostic Systems

      • Zdzisław Kowalczuk, Piotr Suchomski

      Pages 155-218

   7. Optimal Detection Observers Based on Eigenstructure Assignment

      • Zdzisław Kowalczuk, Piotr Suchomski

      Pages 219-259

   8. Robust H _∞-Optimal Synthesis of FDI Systems

      • Piotr Suchomski, Zdzisław Kowalczuk

      Pages 261-298

3. Artificial Intelligence

   1. Front Matter

      Pages 299-299

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   2. Evolutionary Methods in Designing Diagnostic Systems

      • Andrzej Obuchowicz, Józef Korbicz

      Pages 301-331

   3. Artificial Neural Networks in Fault Diagnosis

      • Krzysztof Patan, Józef Korbicz

      Pages 333-379

   4. Parametric and Neural Network Wiener and Hammerstein Models in Fault Detection and Isolation

      • Andrzej Janczak

      Pages 381-410

   5. Application of Fuzzy Logic to Diagnostics

      • Jan Maciej Kościelny, Michał Syfert

      Pages 411-456

   6. Observers and Genetic Programming in the Identification and Fault Diagnosis of Non-Linear Dynamic Systems

      • Marcin Witczak, Józef Korbicz

      Pages 457-509

   7. Genetic Algorithms in the Multi-Objective Optimisation of Fault Detection Observers

      • Zdzisław Kowalczuk, Tomasz Białaszewski

      Pages 511-556

   8. Pattern Recognition Approach to Fault Diagnostics

      • Andrzej Marciniak, Józef Korbicz

      Pages 557-590

   9. Expert Systems in Technical Diagnostics

      • Wojciech Cholewa

      Pages 591-631

   10. Selected Methods of Knowledge Engineering in Systems Diagnosis

       • Antoni Ligęza

       Pages 633-674

   11. Methods of Acquisition of Diagnostic Knowledge

       • Wojciech Moczulski

       Pages 675-718

All real systems in nature - physical, biological and engineering ones - can malfunction and fail due to faults in their components. Logically,the chances for malfunctions increase with the systems' complexity. The complexity of engineering systems is permanently growing due to their growing size and the degree of automation, and accordingly increasing is the danger of fail­ ing and aggravating their impact for man and the environment. Therefore, in the design and operation of engineering systems, increased attention has to be paid to reliability, safety and fault tolerance. But it is obvious that, compared to the high standard of perfection that nature has achieved with its self-healing and self-repairing capabilities in complex biological organisms, fault management in engineering systems is far behind the standards of their technological achievements; it is still in its infancy, and tremendous work is left to be done. In technical control systems, defects may happen in sensors, actuators, components of the controlled object - the plant, or in the hardware or soft­ ware of the control framework. Such defects in the components may develop into a failure of the whole system. This effect can easily be amplified by the closed loop, but the closed loop may also hide an incipient fault from be­ ing observed until a situation has occurred in which the failing of the whole system has become unavoidable.

• Signal
• algorithms
• artificial intelligence
• cognition
• control
• control engineering
• fuzzy
• fuzzy logic
• genetic algorithms
• genetic programming
• intelligence
• knowledge engineering
• mechanical engineering
• neural networks
• optimization

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)

• Institute of Control and Computation Engineering, University of Zielona Góra, Zielona Góra, Poland

  Józef Korbicz

• Dept. of Automatic Control W.E.T.I., Technical University of Gdańsk, Gdańsk, Poland

  Zdzisław Kowalczuk

• Institute of Automatic Control and Robotics, Warsaw University of Technology, Warszawa, Poland

  Jan M. Kościelny

• Dept. of Fundamentals of Machine Design, Silesian University of Technology Gliwice, Gliwice, Poland

  Wojciech Cholewa

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