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Research On Reliability Of Awaken Dormant Subsystem Of Fully Automatic Operation System

Posted on:2021-04-22Degree:MasterType:Thesis
Country:ChinaCandidate:Y PengFull Text:PDF
GTID:2492306512489994Subject:Traffic Information Engineering & Control
Abstract/Summary:PDF Full Text Request
In recent years,due to its highly automated control mechanism,the Fully Automatic Operation has developed rapidly.Compared the traditional CBTC system,fully automatic operation system requires greater safety and reliability.Based on the analysis of the function and structure of the dormant awaken subsystem in the fully automatic operation system,this paper uses the GO-Bayesian method to analyze reliability of the dormant awaken subsystem,as follows:(1)The GO-Bayesian reliability network model is established,which can be applied in the dormant awaken subsystem in the fully automatic operation system.Based on the transduction principle of operator from GO method to dynamic Bayesian network,the transduction rules of logical operators and function operators and the method of output signal are analyzed.Finally,according to the function of the dormant awaken subsystem in the fully automatic operation system and the information flow of the dormant awaken subsystem,the GO-Bayesian network model is built.(2)Reliability analysis is proposed,aiming to the dormant awaken subsystem in the fully automatic operation system based on the GO-Bayesian network model.Firstly,the reliability of the equipment of the dormant awaken subsystem in the fully automatic operation system is predicted,and the reliability performance of each equipment is obtained.Based on the GO-Bayesian network model analyzes the reliability of the system components at different times.Combined with the reliable parameters of equipment,the weakness of the system is identified.(3)The Monte Carlo sequential simulation method is used to simulate the reliability of the dormant awaken subsystem.Simulating the actual failure process of the dormant awaken subsystem,gain the reliability index of the dormant awaken subsystem by the MATLAB.Compared with the reliability results of the GO-Bayesian model,the relative error is small,which verifies the feasibility of the GO-Bayesian model in the reliability analysis of the dormant awaken subsystem.(4)Reliability optimization model is established from two aspects of reliability and economy,the reliability optimization results of the dormant awaken subsystem were obtained by the differential evolution algorithm.
Keywords/Search Tags:Fully Automatic Operation, Dormant awaken subsystem, Reliability analysis, GO-Bayesian network modeling, Monte Carlo method, Reliability optimization
PDF Full Text Request
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