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Fault Diagnosis

Models, Artificial Intelligence, Applications

  • Józef Korbicz
  • Zdzisław Kowalczuk
  • Jan M. Kościelny
  • Wojciech Cholewa

Table of contents

  1. Front Matter
    Pages I-XXIX
  2. Methodology

    1. Front Matter
      Pages 1-1
    2. Wojciech Cholewa, Jan Maciej Kościelny
      Pages 3-27
    3. Jan Maciej Kościelny
      Pages 29-58
    4. Jan Maciej Kościelny
      Pages 59-117
    5. Wojciech Cholewa, Józef Korbicz, Wojciech Moczulski, Anna Timofiejczuk
      Pages 119-153
    6. Zdzisław Kowalczuk, Piotr Suchomski
      Pages 155-218
    7. Zdzisław Kowalczuk, Piotr Suchomski
      Pages 219-259
    8. Piotr Suchomski, Zdzisław Kowalczuk
      Pages 261-298
  3. Artificial Intelligence

    1. Front Matter
      Pages 299-299
    2. Andrzej Obuchowicz, Józef Korbicz
      Pages 301-331
    3. Krzysztof Patan, Józef Korbicz
      Pages 333-379
    4. Jan Maciej Kościelny, Michał Syfert
      Pages 411-456
    5. Zdzisław Kowalczuk, Tomasz Białaszewski
      Pages 511-556
    6. Andrzej Marciniak, Józef Korbicz
      Pages 557-590
    7. Wojciech Cholewa
      Pages 591-631
    8. Wojciech Moczulski
      Pages 675-718
  4. Applications

    1. Front Matter
      Pages 719-719
    2. Jan Maciej Kościelny
      Pages 721-762
    3. Zdzisław Kowalczuk, Keerthi Gunawickrama
      Pages 821-864
    4. Jan Maciej Kościelny, Michał Bartyś, Michał Syfert, Mariusz Pawlak
      Pages 865-902
    5. Jan Maciej Kościelny, Paweł Rzepiejewski, Piotr Wasiewicz
      Pages 903-920

About this book

Introduction

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.

Keywords

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

Editors and affiliations

  • Józef Korbicz
    • 1
  • Zdzisław Kowalczuk
    • 2
  • Jan M. Kościelny
    • 3
  • Wojciech Cholewa
    • 4
  1. 1.Institute of Control and Computation EngineeringUniversity of Zielona GóraZielona GóraPoland
  2. 2.Dept. of Automatic Control W.E.T.I.Technical University of GdańskGdańskPoland
  3. 3.Institute of Automatic Control and RoboticsWarsaw University of TechnologyWarszawaPoland
  4. 4.Dept. of Fundamentals of Machine DesignSilesian University of Technology GliwiceGliwicePoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-18615-8
  • Copyright Information Springer-Verlag Berlin Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-62199-4
  • Online ISBN 978-3-642-18615-8
  • Buy this book on publisher's site
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