摘要
应用贝叶斯估计原理,提出了基于地面监测数据的车辆动力学性能评估方法.利用Parzen窗法和改进二维插值法补充车载监测缺失数据,建立了车载与地面监测数据的概率模型.在提速货车35×104km,车速120 km/h可靠性试验中,获得了提速货车动力学性能的车载及地面监测数据.根据监测地面数据,完成了对提速货车脱轨系数水平的评价.结果表明,现有提速货车的脱轨系数水平为1.2613.
An assessment technique that assesses vehicle dynamic performance using the data of rail measurement was developed by Bayesian estimation principle. The assessing data of dynamic performance were obtained from the on-board and on-ground monitoring in the 35 - 104 km reliability tests of China speed up wagons at the velocity of 120 km/h. A probability model about the relationship between on-ground and on-board monitoring data was built by applying the Parzeng window method and an improved two-dimensional interpolation technique to smoothen the probability density functions. The derailment coefficient of the speed up wagons was assessed according to the on-ground data. The result shows that the derailment coefficient of the existing speed up wagons in China is up to 1. 261 3.
出处
《西南交通大学学报》
EI
CSCD
北大核心
2009年第6期893-899,共7页
Journal of Southwest Jiaotong University
基金
铁道部科技发展资助项目(2005J027)
关键词
车辆动力学性能
评价
贝叶斯估计
地面测量
车载测量
vehicle dynamic performance
assessment
Bayesian estimation
on-ground monitoring
on-board monitoring
