A micro-computer supported, rule-based expert system for failure diagnosis of tribo-components is described. Included is a brief review of AI tools and system organization methods used. The system, as implemented, encompasses: (a) observation of the machine or device containing the tribo-components; (b) identification of component failure modes by visual appearance comparison with photographic standards, and (c) reverse-engineering of the component selection for the application. Not implemented, but defined are: laboratory and advanced analytic diagnostic methods. The system consists of interactive screen-dialogs, augmented by engineering computation routines and followed by the generation of formatted diagnostic and corrective action reports.

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