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The Study Of EMU Components Preventive Maintenance Period Decision Model

Posted on:2011-08-04Degree:MasterType:Thesis
Country:ChinaCandidate:J F ZhaoFull Text:PDF
GTID:2132360305959905Subject:Carrier Engineering
Abstract/Summary:PDF Full Text Request
The passenger high-speed orientation is now becoming the common direction of railway technology development all over the world. The maintenance of EMU is the important part of comprehensive guarantee engineering in high-speed rail system, and maintenance is the basic premise to ensure EMU safety and high-efficiency. With the EMU technology perpetual renewal, existing maintenance system of EMU couldn't meet the needs of railway transportation in China, so that reform must be put in practice. At the time of EMU made by China steps toward abroad increasingly, it is far-meaning to build Chinese characteristic maintenance theory.This article is studied on the maintenance mode of complex components and maintenance period of EMU, got a suit of EMU maintenance period optimization models under different maintenance modes, developed the EMU Maintenance Period Decision Support System to realize optimization scheme, and ultimately achieves the best maintenance period of different components.Article based on the reliability engineering, according to failure variety of EMU equipment, makes use of significance evaluation and Monte Carlo method of CA to decide the suit maintenance mode. On that base, the article brings forward the least fee model of condition maintenance period under "Reliability Centered" and the least fee of plan maintenance period under the restrict of availability. Besides, article builds Maintenance Period Maintenance Period Decision Support System to realize optimization scheme by mix-program of Matlab,Access,Lab VIEW and Excel.The article states the process of building the suit maintenance mode,distributing model,optimization model and decision support system, and validates all over models, which is useful to supporters.
Keywords/Search Tags:EMU, Maintenance period, Reliability, Availability, Decision Support System
PDF Full Text Request
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