In practice,the fault of train bus communication network often presents random,concurrent and hidden characteristics,accompanied by massive normal data flow and few abnormal samples.So the effect of diagnosis method relying solely on expert knowledge is often unsatisfactory.A BRB model,which can automatically generate initial parameters and diagnose WSN node faults,is constructed with cloud model to deal with the uncertainty transformation between qualitative concepts and quantitative values.The study conducts simulation experiments on this model through data analysis.The results show that,compared with the traditional diagnostic model,the BRB model based on the cloud model to generate initial parameters shows significant performance improvement,higher diagnostic accuracy,and less prediction error.
关键词
列车通信网络/BRB模型/无线传感器网络
Key words
Train communication network/BRB model/Wireless sensor network
维普
万方数据