小波变换-回归分析模型在轨道不平顺检测中的应用

Application of Wavelet Transform-Regression Analysis Model in Track Irregularity Inspection

基于车辆-轨道耦合动力学理论,以CRH2动车组为例建立车辆-轨道一体化模型。根据实测高铁轨向不平顺数据计算出车体横向加速度,并结合小波变换法和回归分析法分析了轨向不平顺与车体响应的关系,找出引起车体横向振动的不利波段并确定其产生位置,为高铁养护维修提供理论支撑。研究结果表明：小波变换-回归分析模型既能确定敏感波段又能给出其里程,是一种有效的时频分析方法;轨向不平顺与车体横向加速度存在较明显的线性关系;CRH2动车组速度250 km/h时,轨向不平顺8-16 m,16-32 m波长为引起车体横向振动的最不利波段,通过小波变换法可以给出其对应的里程。

Based on the vehicle-track coupling dynamics theory,a vehicle-track integrated model was built in the case of CRH2 EMU.The lateral acceleration of vehicle body according to the measured track alignment irregularity data of high speed railway was calculated,the relations between track alignment irregularity and vehicle body response was analyzed by combining with wavelet transform and regression analysis method,and the unfavorable wave bands producing the lateral vibration of vehicle body and the accurate positions of them were determined,which could provide a theoretical support for the maintenance and repair of high speed railway.The results showed that wavelet transform-regression analysis model is an effective time frequency analysis method which could not only detect the sensitive wave bands but also determine the accurate positions,there is a obvious linear relationship between the track alignment irregularity and the lateral acceleration of the vehicle body.On condition that CRH2 speed 250 km/h,the most unfavorable wave bands producing vehicle body lateral vibration are track alignment irregularity wave length 8 - 16 m and 16 - 32 m.The accurate positions could be determined by using wavelet transform method.