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Proceedings Paper

Portable Knowledge-Based Diagnostic And Maintenance Systems
Author(s): John Darvish; Noreen Olson
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Paper Abstract

It is difficult to diagnose faults and maintain weapon systems because (1) they are highly complex pieces of equipment composed of multiple mechanical, electrical, and hydraulic assemblies, and (2) talented maintenance personnel are continuously being lost through the attrition process. To solve this problem, we developed a portable diagnostic and maintenance aid that uses a knowledge-based expert system. This aid incorporates diagnostics, operational procedures, repair and replacement procedures, and regularly scheduled maintenance into one compact, 18-pound graphics workstation. Drawings and schematics can be pulled up from the CD-ROM to assist the operator in answering the expert system's questions. Work for this aid began with the development of the initial knowledge-based expert system in a fast prototyping environment using a LISP machine. The second phase saw the development of a personal computer-based system that used videodisc technology to pictorially assist the operator. The current version of the aid eliminates the high expenses associated with videodisc preparation by scanning in the art work already in the manuals. A number of generic software tools have been developed that streamlined the construction of each iteration of the aid; these tools will be applied to the development of future systems.

Paper Details

Date Published: 21 March 1989
PDF: 3 pages
Proc. SPIE 1095, Applications of Artificial Intelligence VII, (21 March 1989); doi: 10.1117/12.969285
Show Author Affiliations
John Darvish, FMC Corporation (United States)
Noreen Olson, FMC Corporation (United States)


Published in SPIE Proceedings Vol. 1095:
Applications of Artificial Intelligence VII
Mohan M. Trivedi, Editor(s)

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