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OALib Journal期刊
ISSN: 2333-9721
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Optimization of the re-profiling strategy and remaining useful life prediction of wheels based on a data-driven wear model
基于磨耗数据驱动模型的轮对镟修策略优化和剩余寿命预报

Keywords: metro rolling stocks,wheel wear,data-driven model,optimization of re-profiling strategy,prediction of remaining useful life
地铁车辆
,轮对磨耗,数据驱动模型,镟修策略优化,剩余寿命预报

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Abstract:

Based on the wheel wear data of Guangzhou Metro,a new data-driven model of wheel wear is given in terms of the variations of wheel diameter,flange thickness,and the re-profiling gain.A control limit policy for the wheel re-profiling decision is also proposed.According to the wheel wear model,the Monte Carlo simulation procedure of the re-profiling strategy is described in detail.Utilizing the Monte Carlo simulation,this wheel re-profiling strategy is optimized in order to minimize the expected long-run cost...

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