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Diagnosis of Unanticipated Plant Component Faults in a Portable Expert System

  • Jaques Reifman
  • Thomas Y. C. Wei
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 38)

Abstract

We describe the first-principles-based PRODIAG expert system for on-line plant-level diagnosis of component faults in thermal-hydraulic processes. This diagnostic system combines the concepts of fundamental physical principles and function-oriented diagnosis in a qualitative reasoning framework and structures these concepts into three independent knowledge bases. PRODIAG has the unique ability to diagnose unanticipated (unforeseen) component faults and can be ported across different processes/plants through modifications of only input data files containing the appropriate process layout information. Simulation tests for two plant systems with transient data generated with the Braidwood Nuclear Power Plant full-scope training simulator confirm the unique capabilities of PRODIAG.

Keywords

Heat Exchanger Open Valve Component Fault Faulty Component Mass Imbalance 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Jaques Reifman
    • 1
  • Thomas Y. C. Wei
    • 1
  1. 1.Argonne National LaboratoryArgonneUSA

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