摘要:应用白噪声聚类经验模型分解方法(EEMD,　Ensemble EMD)，进行轨道一车辆系统的时频分析，
分析钢轨不平顺的波长一幅值分布及短波不平顺的分布特点。通过理论推导，得到垂向钢轨不平顺与车体垂向
加速度之间的转移函数，并由简化模型仿真结果与实验数据对比分析得出二者的相关系数在0. 8以上，表明仿
真结果与实验数据非常吻合。利用简化模型进行数值仿真，所需复数乘法次数为N(21ogN+ 1)，满足实时仿真
的需要。实例所测钢轨不平顺和车体加速度的相关性分析结果表明，对加速度数据进行EEMD处理，所得结果
能反映钢轨不平顺幅值变化及所在的空间位置等信息。(important to grasp the state of track irregularity for guaranteeing the train operation safety.　Due to it
is difficult to detected different bands irregularities with a single inertial amount } a method was pro-
posed to assess the vertical track irregularities based on Nonlinear Auto}egressive with exogenous
input Neural Networks(NARX).A coupling dynamics model of vertical vehicle}rack interactions
was developed with the actual measured track irregularity data from high}peed line as input to ob-
twin the simulation a plurality inertia data.　Then }　NARX neural network }　with the normalization
simulation a plurality inertia data as the input and track irregularity as the output } was built to assess)