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A Knowledge-Based System for Fault Diagnosis in Real-Time Engineering Applications

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Database and Expert Systems Applications

Abstract

We describe the development of a knowledge-based system for fault diagnosis in complex real-time engineering devices. The characteristics of this type of application require that the system combine reasoning, database, and real-time data acquisition capabilities. We concentrate on an explanation of the knowledge and database components of this system.

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References

  1. FGLJ90]M. Féret, J. Glasgow, D. Lawson and M. Jenkins, An Architecture for Real-Time Diagnosis Systems, Proceedings of the 3rd International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Charleston SC, pp. 9 –15, July 1990.

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Author information

Authors and Affiliations

  1. Department of Computing and Information Science, Queen’s University, Kingston, Ontario, Canada, K7L 3N6

    T. Patrick Martin, Janice I. Glasgow, Michel P. Féret & Todd Kelley

Authors
  1. T. Patrick Martin
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  2. Janice I. Glasgow
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  3. Michel P. Féret
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  4. Todd Kelley
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Editor information

Editors and Affiliations

  1. Forschungsinstitut für anwendungsorientierte Wissensverarbeitung (FAW), Ulm, Federal Republic of Germany

    Dimitris Karagiannis (General Conference Chairman) (General Conference Chairman)

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© 1991 Springer-Verlag Wien

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Cite this paper

Martin, T.P., Glasgow, J.I., Féret, M.P., Kelley, T. (1991). A Knowledge-Based System for Fault Diagnosis in Real-Time Engineering Applications. In: Karagiannis, D. (eds) Database and Expert Systems Applications. Springer, Vienna. https://doi.org/10.1007/978-3-7091-7555-2_48

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  • DOI: https://doi.org/10.1007/978-3-7091-7555-2_48

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-82301-9

  • Online ISBN: 978-3-7091-7555-2

  • eBook Packages: Springer Book Archive

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