Due to the passenger�s security, the recognized hidden faults in car engines are the most importantwork for amaintenance engineer,\nso they can regulate the engines to be safe and improve the reliability of automobile systems. In this paper, we will present a novel\nfault recognition method based on the genetic algorithm (GA) and the extension theory and also apply this method to the fault\nrecognition of a practical car engine. The proposed recognition method has been tested on the Nissan Cefiro 2.0 engine and has\nalso been compared to other traditional classification methods. Experimental results are of great effect regarding the hidden fault\nrecognition of car engines, and the proposed method can also be applied to other industrial apparatus.
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