Study of automobile electric controlled system fault diagnosis based on classification pattern recognition

The analysis of data flow from electric controlled system of On-Board Diagnosis shows that sensor and actuator fault could be separated obviously, and then use Neural Network and D-S evidence information fusing method for final recognition. The result shows that, the method based on classification fault recognition could not only promote the precision, but also could promote the efficiency on some degree.