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Fault Detection in Real-Time Software Systems using Neuro-Fuzzy Tools for Signal Validation and Diagnosis

  • Harald P.-J. Thunem
  • Atoosa P.-J. Thunem
Conference paper

Abstract

This paper proposes a first-time application of signal validation and diagnosis techniques, originally tailor-made for physical processes, for fault detection in real-time software systems.

Keywords

Fault Detection Fuzzy Cluster Signal Validation Input Domain Diagnosis Technique 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Jean-Raymond Abrial, Egon Börger, and Hans Langmaack, “Formal Methods for Industrial Applications: Specifying and Programming the Steam Boiler Control.”, LNCS 1165, Springer-Verlag, October 1996. (ISBN 3-540-61929-1)Google Scholar

Copyright information

© Springer-Verlag London 2004

Authors and Affiliations

  • Harald P.-J. Thunem
    • 1
  • Atoosa P.-J. Thunem
    • 1
  1. 1.OECD Halden Reactor ProjectInstitute for Energy TechnologyHaldenNorway

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