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Fault Diagnose Of CRH Bogie System Based On Fault Tree And Bayesian Network

Posted on:2017-01-14Degree:MasterType:Thesis
Country:ChinaCandidate:D WangFull Text:PDF
GTID:2322330515467296Subject:(degree of mechanical engineering)
Abstract/Summary:
High-speed transportation is the inexorable trend of the EMUs development,and it is more and more important to ensure the operation safety.The bogie system is the one of the most important systems of EMUs,so it is significant to process the fault information of the bogie system and study the fault modes of it.Bogie system is complex-constructed and high-integrated,it contains the follow subsystems: wheel set system;primary spring system;secondary suspension system;frame system;drive system and foundation brake rigging system.The paper will study the bogie system and analyze its fault modes basing on the samples chosen from the fault daily report of the FRACAS system.The paper will analyze the function and structure of the bogie system,and will choose the bogie system of CRH380 AL as the example.Then process the fault information of the daily report to complete the five-stage fault system composed of the typical fault event.Set up the fault trees of the bogie system and its subsystems basing on the fault tree analysis,and calculate the prior probabilities of the tree’s bottom events basing on the sample statistics.Import the Bayesian network analysis method,and build up the Fault Bayesian network basing on the combination of the FT and the BN.Choose the foundation brake rigging system as the example and build up the FBN of it,then finish the exact inference of the FBN basing on the junction tree algorithm.Then build up the simulation model of the FBN on Matlab platform and use the junction tree engine on the Matlab platform to finish the fault causal relationship inference and fault event importance analysis respectively with the drive system and the wheel set system as examples.At last,basing on the above-mentioned theory and verification of examples,complete the development of the FBN fault diagnosis subsystem basing on the hybrid programming of Matlab and C# on Visual Studio platform.
Keywords/Search Tags:bogie system, fault tree, Bayesian network, junction tree, fault analysis
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