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The Information Flow Model

  • William R. Simpson
  • John W. Sheppard

Abstract

To address the problems of performing system diagnosis and analyzing system testability, we introduce the concept of an information flow model. This model-based approach to system test and diagnosis incorporates techniques from information fusion and artificial intelligence to guide analysis. The model represents the problem to be solved as information flow. Tests provide information and diagnostic inference combines information from multiple tests using symbolic logic and pattern recognition.

Keywords

Failure Mode Transitive Closure Primitive Element Conditional Test Multiple Failure 
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 Science+Business Media New York 1994

Authors and Affiliations

  • William R. Simpson
    • 1
  • John W. Sheppard
    • 2
  1. 1.Institute for Defense AnalysesUSA
  2. 2.ARINC Research CorporationUSA

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