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The issue of symptoms based diagnostic reasoning

  • J. M. Kościelny
  • M. Syfert

Abstract

In the paper the influence of the dynamics of the symptoms genesis on the correctness of generated diagnoses was shown. An approach of allowing for those dynamics to be taken into account in the algorithms of parallel and serial diagnostic reasoning was given. Finally, the algorithm of proper reasoning when the information about symptoms times is omitted was presented.

Keywords

Fault Detection Diagnostic Signal Single Fault Diagnosis Formulation Diagnostic Reasoning 
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]
    J. Gertler “Fault Detection and Diagnosis in Engineering Systems”, Marcel Dekker, Inc. New York-Basel-Hong Kong, 1998.Google Scholar
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    J. M. Kościelny, Zakroczymski K. “Fault Isolation Algorithm that Takes Dynamics of Symptoms Appearances Into Account”, Bulletin of the Polish Academy of Sciences. Technical Sciences, Vol.49, No 2, 323–336, 2001.Google Scholar
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    J. Korbicz, J.M. Kościelny, Z. Kowalczuk, W. Cholewa „Fault Diagnosis: Models, artificial intelligence methods, applications”, Springer, 2004.Google Scholar
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    J. M. Kościelny, M. Syfert „On-line fault isolation algorithm for industrial processes”, preprints of: 5th IFAC Symposium SAFEPROCESS, Washington D.C., USA, 9-11.VI, 777–782, 2003.Google Scholar
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    R. Patton, P. Frank, R. Clark (Eds.) “Issues of fault diagnosis for dynamic systems”, Springer, 2000.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • J. M. Kościelny
    • 1
  • M. Syfert
    • 1
  1. 1.Institute of Automatic Control and RoboticsWarsawPoland

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