On New Platform and Method of School Bus Automatic Transmission Information Fusion Fault Diagnosis
Shuan Li · Journal of Southwest China Normal University · 2015
In order to ensure the safety of school buses and achieve a high-speed and large-capacity data transfer,information fusion and fault diagnosis under the environment of strong electromagnetic interference,an integrated fault detect platform for data communication and information fusion has been established based on CAN network,which can help realize a real-time data collection of all sensors as well as fusion diagnosis within nodes.BP Neural Network(BPNN)and D-S evidence have been integrated organically.The primary BPNN diagnosis results after processed are distributed as the basic reliability of D-S Evidence,and then after the secondary fusion with D-S,the diagnosis will be output.The method has been taken as an experiment in automatic transmission fault diagnosis of school buses.It shows that this platform is of high reliability and this fusion diagnosis method can effectively process the redundancy of fault data as well as complementary information.After the introduction of BPNN and D-S Evidence,integrated diagnosis results of this method are more accurate and reliable than that of the single neural network.