%0 Journal Article
%T Optimization of the re-profiling strategy and remaining useful life prediction of wheels based on a data-driven wear model<br>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
%A WANG Ling
%A YUAN Hua
%A NA Wen-bo
%A CHEN Xi-ai
%A LI Yun-tang
%A <br>王凌
%A 员华
%A 那文波
%A 陈锡爱
%A 李运堂
%J 系统工程理论与实践
%D 2011
%I 
%X 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...
%K metro rolling stocks
%K wheel wear
%K data-driven model
%K optimization of re-profiling strategy
%K prediction of remaining useful life<br>地铁车辆
%K 轮对磨耗
%K 数据驱动模型
%K 镟修策略优化
%K 剩余寿命预报
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=962324E222C1AC1D&jid=1D057D9E7CAD6BEE9FA97306E08E48D3&aid=5704D2E38E2B920F4BDD6616BBEA2A6A&yid=9377ED8094509821&vid=4AD960B5AD2D111A&iid=B31275AF3241DB2D&sid=CF89D3C02791C82E&eid=A3A7F1D1E8071003&journal_id=1000-6788&journal_name=系统工程理论与实践&referenced_num=0&reference_num=13