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Proceedings Paper

A Tool To Support Failure Mode And Effects Analysis Based On Causal Modelling And Reasoning
Author(s): W. E. Underwood; S. L. Laib
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Paper Abstract

A prototype knowledge-based system has been developed that supports Failure Mode & Effects Analysis (FMEA). The knowledge base consists of causal models of components and a representation for coupling these components into assemblies and systems. The causal models are qualitative models. They allow reasoning as to whether variables are increasing, decreasing or steady. The analysis strategies used by the prototype allow it to determine the effects of failure modes on the function of the part, the failure effect on the assembly the part is contained in, and the effect on the subsystem containing the assembly.

Paper Details

Date Published: 11 May 1987
PDF: 6 pages
Proc. SPIE 0786, Applications of Artificial Intelligence V, (11 May 1987); doi: 10.1117/12.940629
Show Author Affiliations
W. E. Underwood, Artificial Intelligence Atlanta, Inc. (United States)
S. L. Laib, Artificial Intelligence Atlanta, Inc. (United States)

Published in SPIE Proceedings Vol. 0786:
Applications of Artificial Intelligence V
John F. Gilmore, Editor(s)

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