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

  • T. Patrick Martin
  • Janice I. Glasgow
  • Michel P. Féret
  • Todd Kelley
Conference paper

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.

Keywords

Sensor Data Fault Diagnosis Pruning Rule Diagnosis Process Diagnosis Algorithm 
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

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Copyright information

© Springer-Verlag Wien 1991

Authors and Affiliations

  • T. Patrick Martin
    • 1
  • Janice I. Glasgow
    • 1
  • Michel P. Féret
    • 1
  • Todd Kelley
    • 1
  1. 1.Department of Computing and Information ScienceQueen’s UniversityKingstonCanada

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