Computer Science ›› 2017, Vol. 44 ›› Issue (10): 91-95, 126.doi: 10.11896/j.issn.1002-137X.2017.10.017

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Modeling and Prediction on Train Communication Network Traffic of CRH2 EMUs

GE Shi-chun, LIU Xiong-fei and ZHOU Feng   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Aiming at the increasing complexity of the CRH2 train network traffic data,the method based on principal component analysis (PCA) and back propagation neural network (BP Network) was proposed to model and predict network traffic.Based on the built CRH2 train communication simulation platform,traffic of various links of the network has been collected.In order to reduce the complexity of analysis,the dimension reduction analysis is carried out with the application of PCA,then the data is input to BP network for simulation prediction.It is proved that the method can effectively fit the trend of the train network flow,providing concrete reference for the fault diagnosis of CRH2 train communication network.

Key words: CRH2 type EMUs,Principal component analysis,Back propagation neural network,Traffic prediction,Fault diagnose

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