Title page for ETD etd-02062013-040231


Type of Document Master's Thesis
Author Whitehead, John Douglass Hodjat
URN etd-02062013-040231
Title Fault diagnosis based on causal reasoning
Degree Master of Science
Department Computer Science and Applications
Advisory Committee
Advisor Name Title
Roach, John W. Committee Chair
Kervick, Daniel M. Committee Member
Miller, David P. Committee Member
Keywords
  • Artificial intelligence
Date of Defense 1988-11-13
Availability restricted
Abstract

A "causal" expert system based on hypothetical reasoning and its application to a Mark 45 turret gun's lower hoist are described. HOIST is a system that performs fault diagnosis without the use of a domain expert or "shallow rules". Rather its "knowledge" is coded directly from a structural specification of the Mark 45 lower hoist. The technology reported here for assisting the lesser acquainted diagnostician differs considerably from the normal rule-based expert system techniques: it reasons about machine failures from a functional model of the device. In a mechanism like the lower hoist, a functional model must reason about forces, fluid pressures and mechanical linkages, that is, qualitative physics. HOIST technology can be directly applied to any exactly specified device for modeling and diagnosis of single or multiple faults. Hypothetical reasoning, the process embodied in HOIST, has general utility in qualitative physics and reason maintenance.

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