A Fuzzy Diagnostic Model and Its Application in Automotive Engineering Diagnosis

Authors:
Yi Lu;Tie Qi Chen;Brennan Hamilton
Affiliations:
Department of Electrical and Computer Engineering, The University of Michigan-Dearborn, Dearborn Michigan 48128-1491, U.S.A. E-mail: yilu@umich.edu;Department of Electrical and Computer Engineering, The University of Michigan-Dearborn, Dearborn Michigan 48128-1491, U.S.A.;Diagnostic Systems Department, Powertrain Division, Ford Motor Company, Dearborn, MI 48128
Venue:
Applied Intelligence
Year:
1998

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Abstract

This paper describes a fuzzy diagnostic model that containsa fast fuzzy rule generation algorithm and a priority rule basedinference engine. The fuzzy diagnostic model has been implemented ina fuzzy diagnostic system for the End-of-Line test at automobileassembly plants and the implemented system has been testedextensively and its performance is presented.