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contributor authorT. E. Tallian
date accessioned2017-05-08T23:31:11Z
date available2017-05-08T23:31:11Z
date copyrightApril, 1989
date issued1989
identifier issn0742-4787
identifier otherJOTRE9-28475#238_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/106065
description abstractA 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.
publisherThe American Society of Mechanical Engineers (ASME)
titleA Computerized Expert System for Tribological Failure Diagnosis
typeJournal Paper
journal volume111
journal issue2
journal titleJournal of Tribology
identifier doi10.1115/1.3261896
journal fristpage238
journal lastpage244
identifier eissn1528-8897
keywordsTribology
keywordsExpert systems
keywordsFailure
keywordsPatient diagnosis
keywordsComputers
keywordsComputation
keywordsMachinery
keywordsReverse engineering AND Equipment and tools
treeJournal of Tribology:;1989:;volume( 111 ):;issue: 002
contenttypeFulltext


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