Identification And Testing Of Fault Propagation Paths Of On-board Equipment Of CTCS Driven By Data And Model

As a large-scale transportation system,high-speed trains not only drive the social and economic construction,but also greatly improve the people’s livelihood of society.As one of the key technologies of CTCS,on-board equipment is the core foundation to assure the safe operation of high-speed trains,and its working condition directly affects passenger safety,train transportation efficiency and economic benefits.Due to the complex structure of on-board equipment,once a fault occurs,it is easy to cascade effect,which makes it difficult to determine the source and impact.Therefore,it is necessary to research the fault propagation path for on-board equipment,and effectively eliminate cascading faults in the on-board equipment to ensure the safety and stability of high-speed train operation.Firstly,to address the problem of confusion in the operation data of on-board equipment,a multi-dimensional failure data model is constructed and analyzed for fault characterization in different dimensions such as time domain and space;secondly,considering the structure and function of on-board equipment,a hierarchical directed graph model is established to analyze the causes of fault of on-board equipment;on the basis of the above data and model,the fault propagation path evaluation system is constructed,the propagation path is determined based on the weighted evaluation index,the path is verified by the comprehensive fault rate;finally,we design and implement the fault propagation path identification and analysis software for on-board equipment of CTCS.The main work of this paper includes:(1)A multidimensional failure data model based on the star model for CTCS onboard equipment is constructed,combining data cube and On-Line Analytic Processing(OLAP)to analyze the fault characterization in different dimensions such as time domain and space,which solves the problems of complicated operational data and lack of standardized management of on-board equipment,and provides an accurate data basis for the subsequent fault propagation path identification method driven by data and model.(2)The fault propagation hierarchical directed graph model of on-board equipment is established,and the failure mode and effects analysis(FMEA)is performed on the nodes in the hierarchical directed graph model,which provides a reliable model basis for the fault propagation path identification method.(3)A fault propagation path evaluation system driven by data and model is developed.Based on the multidimensional failure data model,the fault probability is obtained by using the Maximum Likelihood Estimation(MLE)method,the structural properties in the hierarchical directed graph model are calculated by using the PageRank algorithm,the propagation path is determined by the weighted evaluation index,and finally the effectiveness of the proposed method is verified by using the Copula function and the Golden Section Search(GSS)algorithm.By calculating and verifying the method in this paper using the 300 T on-board equipment operation log data collected by the railroad operation department from January 2018 to May 2018,the key fault propagation paths of on-board equipment are simulated to prove the feasibility of the method proposed in this paper,based on which the fault propagation path identification and analysis software of CTCS on-board equipment is designed and implemented according to the actual requirements.This thesis contains 63 figures,28 tables and 78 references.