Abstract:
Different hardware system or electronics devices usually face application fault as well as hardware fault. Expert system technology is used to introduce a decision support system to enable normal users or technicians to diagnose computer hardware failure. In this research work has been developed an automated motherboard hardware failure diagnosis by just knowing symptoms showed up from the problem. The system uses remote database that can be shared by multiple users, and the ability to increase performance over time by adjusting priority of rules. Data is mainly collected from computer technicians and encoded into if-then rules, then forward chaining inference technique developed using MATLAB. Finally developed a user interface that take user selection and display diagnosis conclusion. Extensive examination of the developed system has proved that our expert system delivers the right conclusion unless it is not found in system database.
