基于多因素相关性分析的地铁车辆轮对磨耗量预测研究

Research on Abrasion Prediction of Metro Vehicles Wheel Set Based on Multi Factor Correlation Analysis

随着地铁车辆运维管理水平的提升,传统的轮对定期计划修和故障修逐渐向状态修转变,本研究以地铁车辆轮对外形尺寸日常检测数据和轮对镟修作业记录数据为基础,综合考虑诸多因素对轮对磨损量的影响,引入Pearson相关系数研究各因素对轮对磨损量的影响程度,建立地铁车辆轮对磨耗量预测模型,进行基于数据的多因素影响磨损预测,指导地铁运营单位,合理生产安排运营镟修工作,提高地铁车辆轮对维修效率,提高地铁运营单位经济效益。

With the improvement of the operation and maintenance management level of metro vehicles,the traditional scheduled maintenance and breakdown maintenance are gradually changing to condition based maintenance.Based on the daily dimensions sense data and the record data of wheel set lathing operations,This study comprehensively considered the impact of many factors on the wear of wheel sets,and introduced Pearson correlation coefficient to study the impact of various factors on the wear of wheel sets,established the wear prediction model of metro vehicle wheelsets,predict the wear of multiple factors based on data,guide the metro operation units reasonably arrange the operation and lathing work,improve the maintenance efficiency of metro vehicle wheelsets,and improve the economic benefits of metro operation units.