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Fault Diagnosis pp 411–456Cite as

Application of Fuzzy Logic to Diagnostics

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Abstract

The basics of fuzzy logic as well as fuzzy modelling and control are described, for example, in the monographies by Czogała and Łęski (2000), Yager and Filev (1994), Drinkov et al. (1996), Rutkowska (2002), and Piegat (2001). An interesting overview of fuzzy logic application to fault detection and isolation can be found in Frank and Marcu (2000). This chapter presents the application of fuzzy logic to fault detection and isolation.

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Author information

Authors and Affiliations

  1. Institute of Automatic Control and Robotics, Warsaw University of Technology, ul. Św. Andrzeja Boboli 8, 02-525, Warsaw, Poland

    Jan Maciej Kościelny & Michał Syfert

Authors
  1. Jan Maciej Kościelny
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  2. Michał Syfert
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Editor information

Editors and Affiliations

  1. Institute of Control and Computation Engineering, University of Zielona Góra, ul. Podgorna 50, 65-246, Zielona Góra, Poland

    Józef Korbicz

  2. Dept. of Automatic Control W.E.T.I., Technical University of Gdańsk, ul. Narutowicza 11/12, 80-952, Gdańsk, Poland

    Zdzisław Kowalczuk

  3. Institute of Automatic Control and Robotics, Warsaw University of Technology, ul. Chodkiewicza 8, 02-525, Warszawa, Poland

    Jan M. Kościelny

  4. Dept. of Fundamentals of Machine Design, Silesian University of Technology Gliwice, Konarskiego 18a, 44-100, Gliwice, Poland

    Wojciech Cholewa

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Kościelny, J.M., Syfert, M. (2004). Application of Fuzzy Logic to Diagnostics. In: Korbicz, J., Kowalczuk, Z., Kościelny, J.M., Cholewa, W. (eds) Fault Diagnosis. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18615-8_11

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  • DOI: https://doi.org/10.1007/978-3-642-18615-8_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-62199-4

  • Online ISBN: 978-3-642-18615-8

  • eBook Packages: Springer Book Archive

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