AN EXPERT SYSTEM FOR DIAGNOSING FAULTS IN MOTORCYCLE
Dauda Odunayo, Emmanuel Alayande · 2014
Most of the people especially in the Africa sub-region preferred using a 2-wheeled vehicle to a 4 –wheeled vehicle personally or for commercial purpose because it is easily affordable and the cost of maintenance is very cheap. This is so because of the poor state of economy in the region. The principle of thermodynamics has proved that a functioning engine could at times develop one fault or the other and there is therefore a need to diagnose such fault in order to repair or rectify it. This research work presented an expert system for diagnosing faults and profound possible solution using artificial intelligence principles. Different rules are defined using forward chaining and implemented with CLIP programming Language.