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

作者:Wang Meng Hui*; Wu Pi Chu
来源:Mathematical Problems in Engineering, 2014, 2014: 735485.
DOI:10.1155/2014/735485

摘要

Due to the passenger's security, the recognized hidden faults in car engines are themost 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.

  • 出版日期2014

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