A Multi-Level Expert System For Repair Applications

L. Cinque; M. Crispoldi; F. Fontana; S. Levialdi

doi:10.1117/12.947036

29 March 1988 A Multi-Level Expert System For Repair Applications

L. Cinque, M. Crispoldi, F. Fontana, S. Levialdi

Proceedings Volume 0937, Applications of Artificial Intelligence VI; (1988) https://doi.org/10.1117/12.947036
Event: 1988 Technical Symposium on Optics, Electro-Optics, and Sensors, 1988, Orlando, FL, United States

Abstract

In this paper we describe a multi-level knowledge architecture, called M-EXPAIR, that uses meta-knowledge for driving an expert system in the repair domain of a radar display. This system uses a knowledge base containing both a physical and a functional description of the equipment and the history concerning the past diagnosis. M-EXPAIR, that is able to give explanations about its actions, is a variant of a structured production system such that the rules in the fired rule classes are dynamically updated during diagnosis. An example for a radar display device is described to illustrate the actual implementation of M-EXPAIR.

Citation Download Citation

L. Cinque, M. Crispoldi, F. Fontana, and S. Levialdi "A Multi-Level Expert System For Repair Applications", Proc. SPIE 0937, Applications of Artificial Intelligence VI, (29 March 1988); https://doi.org/10.1117/12.947036

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