基于磨耗数据统计模型的镟轮决策优化

针对目前地铁车辆车轮等级镟修而导致的镟修不合理问题,提出一种基于磨耗数据统计模型镟轮决策优化方法。基于广州地铁8号线的轮对磨耗数据,首先利用SPSS分析轮径磨耗和轮缘磨耗与轮缘厚相关性;其次建立基于状态转移过程的轮缘磨耗模型和基于数理统计模型的轮径磨耗模型;然后研究单个车轮的单级和多级镟修控制限策略,并通过蒙特卡罗仿真分析比较两种控制限策略的优劣。结果表明,多级镟修控制限策略大大提高车轮使用寿命,节约列车运营成本。

Optimization of Wheel Re-profiling Strategy Based on Statistical Wear Model

Aiming at improving the current unreasonable wheel-set re-profiling schedule due to classlathing,a re-profiling strategy is proposed based on historical wear data. Firstly,the SPSS is used to analyze the interdependency between wheel diameter wear and wheel flange width based on the wheel wear data of Guangzhou Metro Line 8. Secondly,flange width wear model based on state transition and wheel diameter wear model based on mathematical statistics are built separately,and single-stage and multi-stage planned turns strategies of individual wheels are studied based on the two models. Finally,Monte Carlo simulation is conducted to compare the two strategies,and the result shows that multi-stage planned turns strategy can prolong expected life of wheels and save operating cost effectively.