Automotive Fault Diagnosis Based on the Fuzzy Mathematics

Hong Zhang; Zhi Jie Gai

doi:10.4028/www.scientific.net/AMR.898.859

Paper Titles

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Noise Analysis of the Photoelectric Detection Circuit and Research on the Error Compensation Method
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The Design and Implementation of a New S-Curve Acceleration/Deceleration Algorithm
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Design of Automatic Test System on Flight Control Electronics Set Based on PXI Bus
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Automotive Fault Diagnosis Based on the Fuzzy Mathematics
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Design and Implementation of Intelligent Tester for LED Backlight LCD Display Driving Power
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Grid Information Synchronous Monitoring Algorithm under Unbalanced and Distorted Condition
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Study on Regenerative Braking Control Algorithm
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Modeling and Simulation of BLDCM Double Closed-Loop Control System Based on Matlab
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 898Automotive Fault Diagnosis Based on the Fuzzy...

Automotive Fault Diagnosis Based on the Fuzzy Mathematics

Abstract:

Automobile fault diagnosis is one of the hot issues in detection and diagnosis technology of automobile. The automobile fault has the characteristics of uncertainty and complexity problems. To solve the problems of qualitative description from drivers into quantitative, fuzzy mathematics is introduced. In addition, the fuzzy relationship of automobile fault and fault causes is expressed by setting the membership functions and fuzzy relation matrix. Finally, the qualitative analysis of real cases is present. The fuzzy theory and expert system for automobile fault diagnosis method is proved accurately through the algorithm analysis and real cases.