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A Fuzzy Classification Solution for Fault Diagnosis of Valve Actuators

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2773))

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Abstract

This paper proposes a fuzzy classification solution for fault diagnosis of valve actuators. The belongingness of the current state of the system to the normal and/or a faulty state is described with the help of fuzzy sets. The theoretical aspects of the classifier are presented. Then, the case study – the DAMADICS benchmark flow control valve, is shortly introduced and also the method used to generate the data for designing and testing the classifier. Finally, the simulation results are discussed.

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Author information

Authors and Affiliations

  1. Computer Science and Engineering Dept., University ”Dunarea de Jos” of Galati, Domneasca 47, Galati, 6200, Romania

    C. D. Bocaniala

  2. Dept. of Mechanical Engineering, GCAR/IDMEC, Technical University of Lisbon, Instituto Superior Tecnico, Avenida Rovisco Pais

    J. Sa da Costa & R. Louro

Authors
  1. C. D. Bocaniala
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  2. J. Sa da Costa
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  3. R. Louro
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Editor information

Editors and Affiliations

  1. Computing Laboratory, Oxford University, Parks Road, OXI 3QD, United Kingdom

    Vasile Palade

  2. Intelligent Systems and Signal Processing Labs, Moulsecoomb, University of Brighton, BN2 4GJ, Brighton, United Kingdom

    Robert J. Howlett

  3. Knowledge-Based Intelligent Engineering Systems Centre, Mawson Lakes, University of South Australia, 5095, Adelaide, SA, Australia

    Lakhmi Jain

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© 2003 Springer-Verlag Berlin Heidelberg

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Bocaniala, C.D., da Costa, J.S., Louro, R. (2003). A Fuzzy Classification Solution for Fault Diagnosis of Valve Actuators. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45224-9_100

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  • DOI: https://doi.org/10.1007/978-3-540-45224-9_100

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40803-1

  • Online ISBN: 978-3-540-45224-9

  • eBook Packages: Springer Book Archive

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