Bayesian Estimation of Vehicle Dynamic Performance by Rail Measurement
-
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.Abstract: 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 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 1.2613.
-
DONATO P G,UREA J,MAZO M,et al.Design and signal processing of a magnetic sensor array for train wheel detection[J].Sensors and Actuators A:Physical,2006,132(2):516-525.[2] KAROUMI R,WIBERG J,LILJENCRANTZ A.Monitoring traffic loads and dynamic effects using an instrumented railway bridge[J].Engineering Structures,2005,27(12):1813-1819.[3] LI P,GOODALL R,WESTON P,et al.Estimation of railway vehicle suspension parameters for condition monitoring[J].Control Engineering Practice,2007,15(1):43-55.[4] KAEWUNRUEN S,REMENNIKOV A M.Field trials for dynamic characteristics of railway track and its components using impact excitation technique[J].NDT E International,2007,40(7):510-519.[5] BOCCIOLONE M,CAPRIOLI A,CIGADA A,et al.A measurement system for quick rail inspection and effective track maintenance strategy[J].Mechanical Systems and Signal Processing,2007,21 (3):1242-1254.[6] RUSER H,M GORI V.Highly sensitive motion detection with a combined microwave-ultrasonic sensor[J].Sensors and Actuators A:Physical,1998,67(1-3):125-132.[7] IHALAINEN H,LATVA-K(A)YR(A) K,RITALA R.Dynamic validation of on-line measurements:a probabilistic analysis[J].Measurement,2006,39(4):335-351.[8] BREMER C L,KAPLAN D T.Markov chain Monte Carlo estimation of nonlinear dynamics from time series[J].Physica DNonlinear Phenomena,2001,160(1-2):116-126.[9] 肖建,于龙,白裔峰.支持向量回归中核函数和超参数选择方法综述[J].西南交通大学学报,2008,43(3):297-303.XIAO Jian,YU Long,BAI Yifeng.Survey of the selection of kernels and hyper-parameters in support vector regression[J].Journal of Southwest Jiaotong University,2008,43 (3):297-303.[10] DAI J N.Robust estimation of HMM parameters using fuzzy vector quantization and Parzen's window[J].Pattern Recognition,1995,28(1):53-57.[11] SOLTANI A,MEINKE H,de VOIL P.Assessing linear interpolation to generate daily radiation and temperature data for use in crop simulations[J].European Journal of Agronomy,2004,21 (2):133-148.[12] 邓聚龙.厌色系统基本方法[M].武汉:华中科技大学出版社,2005:26-36.
点击查看大图
计量
- 文章访问数: 1681
- HTML全文浏览量: 74
- PDF下载量: 367
- 被引次数: 0