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Xu H.,China Jiliang University | Yuan H.,Guangzhou Metro Operation Co. | Wang L.,China Jiliang University | Na W.,China Jiliang University | And 2 more authors.
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | Year: 2010

Based on the wheel wear data of Guangzhou Metro, this paper analyzes the characteristics of wheel wear and re-profiling at first. With the application of the theory of Gaussian processes, a new data-driven model of wheel wear is given in terms of the variation of wheel diameter and flange thickness. A control limit policy for the wheel re-profiling decision is also proposed. According to the wheel wear model, the Monte Carlo simulation model/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 maximize the expected lifetime of wheel finally. The results indicate that wheel wear is higher when wheels have a thicker or thinner flange, and the decreasing rate of the wheel diameter is independent of the thickness of wheel flange. Furthermore, the better selection for the wheel re-profiling strategies is that wheels should be restored to 30 mm when the flange is worn down to 27~28.5 mm, which could extend the expected lifetime of wheels to 13.2~15.3 years. © 2010 Journal of Mechanical Engineering.


Wang L.,China Jiliang University | Yuan H.,Guangzhou Metro Operation Co. | Na W.-B.,China Jiliang University | Chen X.-A.,China Jiliang University | Li Y.-T.,China Jiliang University
Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice | Year: 2011

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 of wheel maintenance, and the prediction of remaining useful life of wheels is realized. The results indicate that wheels should be brought to 29-30mm when the flange is worn down to 27-27.5mm, which could reduce the expenditure associated with wheel re-profiling and extend the expected lifetime of wheels. The proposed prediction method of remaining useful life can derive the probability distribution of the remaining life of a wheel at a given time.

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