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| A Rule-Based System for Diagnosing Car Air Condition Malfunctions
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Mohamed R. Alkotby, Rasha K. Arafa, Hameda F. Balat,
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Abstract:
Diagnosing car malfunctions is a complex process that requires a high level of knowledge and skills. Car users need a skilled technician to diagnose car faults. With the development in the automotive industry and the novelty of its components; There is a gap between the knowledge and skills of technicians and what the labor market demands. Therefore, it has become necessary to employ artificial intelligence technology to help technicians keep pace with the huge developments in the automotive industry. The aim of the research is to present a rule-based system for diagnosing various malfunctions of car conditioning; the system was applied to 22 technicians in the Arab Republic of Egypt. They were divided into a control group and an experimental group, and the results showed that the mean score of the experimental group technicians was 58.45, greater than the mean score of the technicians in the Control group 29.18 To confirm the results, the T-test was applied, and its value was 19.721, which indicates the effectiveness of the proposed system in improving technicians' knowledge and raising their skills in accurately diagnosing and fixing car air conditioning (AC) malfunctions, saving time and effort needed for the diagnosis process
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