Method Of Extracting Static And Dynamic Performance Degradation Feature For High Speed Railway Catenary

Recently,along with rapid development of railway construction,the quality and quantity of electrical railway in our country has been promoted.Either the mileage of high-speed railway or the mileage of electrical railway has all been ranked first in the world.However,the development of monitoring catenary state has not kept up with the pace of railway construction.Organization model and maintenance strategy are not perfect and inefficient.In the process of long-term service,the key parts of the catenary will get depleted,which will lead to the degradation of the performance of the catenary system in varying degrees,and cause hidden dangers to railway operation.Therefore,using appropriate methods analyze the correlation between the data from the tracking monitoring and extract their character has important significance for ensuring the reliability of the catenary system.Firstly,According to the latest High Speed Railway Catenary Operation and Maintenance Rules,the influence of the fluctuation of the static and dynamic parameters on the system state is studied.Combining with the characteristics of catenary data,a method of extracting the static and dynamic parameters of catenary based on Copula function is proposed.Secondly,based on the existing 6C detection and monitoring system and Ansys simulation results,on the basis of the large data,the IMF component of the contact pressure between the bow and the net is obtained by EMD(empirical mode decomposition),and then the Copula function is used to analyze their correlation.And the eigenvalues are extracted on the Matlab platform,and the degeneration performance of the catenary is identified based on the single parameter,which make up for the traditional method of only a certain IMF component analysis.Finally,the characteristics of multiple catenary parameters are analyzed at the same time,and the correlation between the multi-parameters is studied by using the appropriate Copula function.The joint distribution is constructed on the Matlab platform,also the mean and the variance of the joint distribution are extracted as the eigenvalue.State Identification of Catenary Based on Multi-parameter.Compared with the method of feature extraction only for single parameter,it provides a new idea.