Fault diagnosis method of automotive network with Bayesian network-based information fusion

Based on the information fusion of Bayesian network, the fault diagnosis method of vehicle network is studied in this paper. Firstly, the fault types of vehicle network system are analyzed. Then, according to the randomness and uncertainty features of faults, a fault diagnosis method with information fusion based on Bayesian network is proposed after analyzing relevant fault diagnosis methods. Finally, combined with expert knowledge and massive statistical data, the fault diagnosis method proposed is applied to the fault diagnosis of automotive engine nodes, validating the effectiveness of the method proposed.