DocumentCode :
3599910
Title :
Design and implementation of vehicle fault diagnosis system for intelligent travel
Author :
Yiming Shen ; Jianping Luo
Author_Institution :
Guangdong Televehicle Inf. Technol. Service Co., Ltd., Guandong, China
fYear :
2014
Firstpage :
553
Lastpage :
558
Abstract :
Tosolve the complicated variety of vehicle faults and the difficulty of real-time diagnosis, a kind of vehicle fault diagnosis system based on the expert system is presented. This paper uses expert knowledge of vehicle fault diagnosis to build the knowledge base with the knowledge representation of fuzzy production rules, and designs the forward inference machine to implement the real-time vehicle fault diagnosis. Test results show that the system has a good application and can contribute to the intelligent travel services.
Keywords :
automobiles; fault diagnosis; inference mechanisms; production engineering computing; road vehicles; expert system; forward inference machine; fuzzy production rules; intelligent travel services; knowledge base; knowledge representation; vehicle fault diagnosis system; Circuit faults; Cognition; Expert systems; Fault diagnosis; Maintenance engineering; Vehicles; Expert system; Fault diagnosis; Intelligent Travel; Knowledge base;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing and Intelligence Systems (CCIS), 2014 IEEE 3rd International Conference on
Print_ISBN :
978-1-4799-4720-1
Type :
conf
DOI :
10.1109/CCIS.2014.7175797
Filename :
7175797
Link To Document :
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