MORE INSIGHT ON AUTOMOBILE FAULT DETECTION SYSTEM

Authors

  • EDINO KENNEDY O. Computer Science Department, Delta State Polytechnic, Otefe-Oghara. Author https://orcid.org/0009-0001-8457-4620
  • OKORODUDU JOSEPH Computer Science Department, Delta State Polytechnic, Otefe-Oghara. Author

Abstract

This research work deals with the framework of an expert system for car faults diagnosis. The research is motivated by the need to guide car owners and learners motor mechanics in the maintenance and trouble shooting of motor problems without having to resort to presumptions and conjectures. Particularly, it is expected that the proposed design would ensure that car owners have proper assistance in times of crisis and what’s more will save them from the clutches of exploitative roadside mechanics. For this purpose a rule- base artificial intelligence (AI) technique was utilized to obtain theoretical and practical expert system parameters, and then a conceptual expert system was designed. The expert system functioning is based on the database of car faults, symptoms and their correction, which make up its knowledge base.

Keywords:

Faults Diagnosis, Conjectures, Exploitative, Mechanics, Expert System, Car Engine Fault Detector

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Published

2024-12-31

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How to Cite

EDINO KENNEDY O., & OKORODUDU JOSEPH. (2024). MORE INSIGHT ON AUTOMOBILE FAULT DETECTION SYSTEM. Journal of Engineering Research and Development, 6(5). https://berkeleypublications.com/bjerd/article/view/309

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