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Mathematical Problems in Engineering
Volume 2014, Article ID 735485, 7 pages
Research Article

Fault Diagnosis of Car Engine by Using a Novel GA-Based Extension Recognition Method

1Department of Electrical Engineering, National Chin-Yi University of Technology, 411 No. 35, Lane 215, Sec.1, Chung-Shan Road, Taichung County, Taiwan
2Department of Marketing and Logistics, China University of Technology, 116 No. 56, Sec. 3, Xinglong Road, Wenshan District, Taipei City, Taiwan

Received 16 December 2013; Accepted 15 February 2014; Published 17 March 2014

Academic Editor: Her-Terng Yau

Copyright © 2014 Meng-Hui Wang and Pi-Chu Wu. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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