International Journal of Information and Communication Technology Research

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International Journal of Information and Communication Technology Research


E-Learning for Car Faulty Diagnosis

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Author Adsavakulchai, S, Ngamdumrongkiat N, Chuchirdkiatskul E
On Pages 20-26
Volume No. 1
Issue No. 1
Issue Date May 01, 2011
Publishing Date May 01, 2011
Keywords E-learning, car faulty diagnosis, rule-based



Abstract

Car fault identification is not easy for inexperienced mechanical engineer or driver because it is needed a lot of knowledge for finding the fault. Therefore, they extremely depend on expert mechanical engineer. In this study, to develop e-learning for car faulty diagnosis by using 19 rule-based of the knowledge-base is collected from mechanical engineer experts, specialized books, and from different car websites. The three knowledge bases of car start problem, break problem, and cooling system problem are created after compiling enough information for each problem using Visual Basic and Microsoft Access. The system is designed to meet userís needs in terms of ease of use and understandability and convenience that are the most necessary factors that attract users to use the system. Moreover, the system indicated that an expert system will be practical and can be useful in providing consistent car problem detection. It can be concluded that e-learning for car faulty diagnosis is helpful although it might not give a complete guide and help as a human expert namely mechanical engineer do, but at least the e-learning for car faulty diagnosis can give a temporary assistance to those who are in need of an instance help. 

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