A Study of the Fault Diagnosis of Electronic Control Engine Based on Bayesian Networks
Zhang Zhang-kun · Journal of Changshu Institute of Technology · 2009
The paper analyses the characteristics of Bayesian networks and gives the fault tree of the engine idling bad.According to the translation algorithm of the fault tree translation into Bayesian networks,the model of Bayesian networks is established.According to the fault simulation tests,the prior probabilities of the nodes needed by Bayesian networks fault diagnosis are obtained.Finally the paper gives the fault probability of the electronically controlled fuel injection system components when the engine is idling bad.