COMBINING QUANTITATIVE AND QUALITATIVE REASONING IN AIRCRAFT FAILURE DIAGNOSIS.

David A. Handelman, Robert F. Stengel

Research output: Contribution to journalConference article

9 Scopus citations

Abstract

The problem of in-flight failure-origin diagnosis is addressed by combining aspects of analytical redundancy and artificial intelligence theory. The objective is to use the mathematical model designed to simulate aircraft behavior as a supplement to the knowledge used for diagnosis. A method is developed whereby qualitative causal information about a dynamic system is drawn from its model. Based on sensitivities of the equations of motion to worst-case failure modes, a measure of the relative capacity of system elements to affect one another is derived. A diagnosis procedure combining problem reduction and backward-chaining ordered search uses this knowledge to reduce a list of elements capable of failure to a relatively small list of elements suspected of failure.

Original languageEnglish (US)
Pages (from-to)366-375
Number of pages10
JournalAIAA Paper
StatePublished - Dec 1 1985

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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