基于地面监测的车辆动力学性能贝叶斯评估技术

应用贝叶斯估计原理,提出了基于地而临测数据的车辆动力学件能评估方法.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35×10~4km,车速120 km/h可靠性试验中,获得了提速货车动力学件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1.261 3.

Bayesian Estimation of Vehicle Dynamic Performance by Rail Measurement

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 × 10~4 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 Parzen's 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.