Simulation Research on the Fault Detection of Automotive Engine

The abnormity of sensor of automotive engine will lead to great difference of result of engine status analysis.This paper applies artificial neural BP network to keep track of engine' sensor.A simulation experiment is performed to show that the improved BP network is self-adaptive and the error within 3% could be maintained.It could meet practical need of the project.The physical model is not involved in the application of artificial neural BP network,hence the significance of the model is far-reaching.It might exert profound influences on the online simulation of parameter,on reducing sensor maintenance,and on the development of the fault diagnosis technology.