IEEE Transactions on Vehicular Technology · 2000 · 32 citations · 8 references
EngineeringAutomotive EngineeringComputer ScienceAutomationAutomotive DiagnosticsMachine LearningCondition MonitoringDiagnosisEngine DiagnosticsExpert SystemsFault DetectionFault DiagnosisFault Detection Using Machine LearningFault Diagnosis AlgorithmsKnowledge-based Fault DetectionKnowledge-based Fault DiagnosisMachine Learning For Fault DetectionMachine Learning-based Fault DiagnosisMembership FunctionsRule-based Fault Diagnosis
This paper describes a fuzzy model that learns automotive diagnostic knowledge through machine learning techniques. The fuzzy model contains the algorithms for automatically generating fuzzy rules and optimizing fuzzy membership functions. The fuzzy model has been implemented to detect a vacuum leak in the electronic engine controller (EEC) as part of the end-of-line test at automotive assembly plants. The implemented system has been tested extensively, and its performance is presented.
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Fuzzy Set Theory and Its Applications
Rami Zwick, Hans-Jürgen Zimmermann · The American Journal of Psychology · 1993 · 2.9K citations
Natural Sciences, Mathematics, Logic +12