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A Fuzzy Diagnostic Model and Its Application in Automotive Engineering Diagnosis

dc.contributor.authorLu, Yien_US
dc.contributor.authorChen, Tie Qien_US
dc.contributor.authorHamilton, Brennanen_US
dc.date.accessioned2006-09-11T14:35:57Z
dc.date.available2006-09-11T14:35:57Z
dc.date.issued1998-11en_US
dc.identifier.citationLu, Yi; Chen, Tie Qi; Hamilton, Brennan; (1998). "A Fuzzy Diagnostic Model and Its Application in Automotive Engineering Diagnosis." Applied Intelligence 9(3): 231-243. <http://hdl.handle.net/2027.42/44308>en_US
dc.identifier.issn0924-669Xen_US
dc.identifier.issn1573-7497en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/44308
dc.description.abstractThis paper describes a fuzzy diagnostic model that contains a fast fuzzy rule generation algorithm and a priority rule based inference engine. The fuzzy diagnostic model has been implemented in a fuzzy diagnostic system for the End-of-Line test at automobile assembly plants and the implemented system has been tested extensively and its performance is presented.en_US
dc.format.extent294995 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers; Springer Science+Business Mediaen_US
dc.subject.otherComputer Scienceen_US
dc.subject.otherArtificial Intelligence (Incl. Robotics)en_US
dc.subject.otherMechanical Engineeringen_US
dc.subject.otherManufacturing, Machines, Toolsen_US
dc.subject.otherFuzzy Logicen_US
dc.subject.otherMachine Learningen_US
dc.subject.otherFault Diagnosisen_US
dc.titleA Fuzzy Diagnostic Model and Its Application in Automotive Engineering Diagnosisen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelScience (General)en_US
dc.subject.hlbsecondlevelComputer Scienceen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Electrical and Computer Engineering, The University of Michigan-Dearborn, Dearborn, Michigan, 48128-1491, U.S.A.en_US
dc.contributor.affiliationumDepartment of Electrical and Computer Engineering, The University of Michigan-Dearborn, Dearborn, Michigan, 48128-1491, U.S.A.en_US
dc.contributor.affiliationotherDiagnostic Systems Department, Powertrain Division, Ford Motor Company, Dearborn, MI 48128en_US
dc.contributor.affiliationumcampusDearbornen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/44308/1/10489_2004_Article_183537.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1023/A:1008315803848en_US
dc.identifier.sourceApplied Intelligenceen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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