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Comprehensive Assessment Based On Multi-dimensional Index Of The High Speed Railway Contact Network

Posted on:2019-07-04Degree:MasterType:Thesis
Country:ChinaCandidate:M Y WangFull Text:PDF
GTID:2322330563954971Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
The high-speed and efficiency property of the high-speed railway proposed new requirements to the traction power supply system's maintenance,and catenary system,as one of the major parts of the traction power system,shoulders more responsibilities for the security of the high-speed railways' power supply system.Therefore,if the performance can be detected and assessed,it would be possible to make the system maintenance plan well targeted and improve the reliability of the system.The comprehensive assessment of catenary is a process of evaluating the current running state of catenary and distinguishing the different running states of catenary by using existing static and dynamic parameters of catenary.This paper used the 1C and 2C data of the Wuhan to Guangzhou high-speed railway(Qingyuan to Guangzhou section downstream test line)to assess the current state of the catenary,and complete the following work:First,this paper research the method of data reconstruction.The EMD method is used to decompose the obtained simulation data,and then the Chi-plot tool is used to select the effective IMF component for data reconstruction.The method can effectively exclude the irrelevant components and the low frequency components in the original detection data,and make the local features of the original data more clearly displayed by EMD decomposition.Second,this paper research the method of using PSD power spectrum analysis method to extract the feature of detection data.According to different parameters of catenary,we determine the weighted average of the power spectrum amplitude selected at the special space wavelength and the method of synthesizing the eigenvalues as the parameter to deal with the parameters of the catenary.The amplitude characteristics of the power spectrum synthesis can clearly reflect the changes of the parameters of the simulation contact network.Third,by taking the measured data from Qingyuan to Guangzhou as an example,this paper showed the the extraction process of the amplitude of the synthetic power spectrum of different parameters of catenary.Analysis of spectrum amplitude of contact pressure,height,pull out value and hard point based on measured data show that the amplitude characteristics of all parameters can clearly reflect the state changes of the parameters of the catenary.And,the method of characterizing the state characteristics of the actual catenary parameters by using the synthetic eigenvalues obtained by the power spectrum analysis is effective.Fourth,this paper studied on the level and threshold formulation of the evaluation set of each parameter of the catenary After extracting the synthetic eigenvalues of the parameters of the catenary,the five level(excellent,good,general,poor,poor)evaluation standard was established.By analyzing the distribution of eigenvalues of each parameter,we determine the thresholds of each evaluation level.Based on that,we use the triangle membership function to fuzzily process the eigenvalues of each parameter.Fifth,on the basis of obtaining the eigenvalues of each parameter,the entropy weight method is used to calculate the weight of each parameter of the catenary.At the same time,the synthetic characteristics of the fuzzy processing are used to get the final evaluation result set,and the final contact network evaluation results are determined according to the maximum membership degree principle.Through the analysis of the evaluation results and the actual maintenance status of the site,this paper examined the correctness of the results and the feasibility of the evaluation scheme,and provided a reference for the realization of the state repair of the catenary system.
Keywords/Search Tags:High speed railway catenary system, State assessment, EMD, Entropy weight method, Power spectrum analysis, Fuzzy processing
PDF Full Text Request
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