Adekunle, Adefemi and Ikubanni, P.P. and Agboola, O.O. (2018) An Expert System for Automobile Repairs and Maintenance. Mindanao Journal of Science and Technology, 16. pp. 1-20.
Full text not available from this repository.Abstract
Fault detection in automobile is a complicated process, which demands high level of knowledge and skill. Due to inadequate knowledge of vehicle users on some detectable vehicles faults from symptoms developed by a vehicle, this paper deals with the problem of detection of some automobile fault type and causes; repairing or maintaining an automobile through the use of expert system; and finding an alternative to replace human expert in automobile repair and maintenance. This system was designed for the detection of various automobile fault based on the efficient utilization of the past design experiences of the designer. An expert system is a computer system that emulates the decision-making ability of human expert. It was designed to solve complex problems by reasoning about knowledge base. They are represented primarily by if-then rules. The expert system was designed using Microsoft Visual C# programming language as it is an object-oriented type and has supports for generics and functional programming paradigms. For easy interaction with the user, graphic user interface (GUI) of the system was designed using window presentation framework (WPF) from Microsoft in order to achieve fluid and vector based on the interaction of the system with the user. This system works accurately during the process according to the various classes of fault presented to the programmer. This expert system saves time and energy needed by car owners and human expert in diagnosing, repairing and maintaining a vehicle.
| Item Type: | Article |
|---|---|
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Engineering Sciences |
| Depositing User: | Engr. Peter Ikubanni |
| Date Deposited: | 20 Sep 2018 17:17 |
| Last Modified: | 20 Sep 2018 17:17 |
| URI: | https://eprints.lmu.edu.ng/id/eprint/1280 |
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