This paper describes a dynamic and quantitative method of diagnosing and estimating rail corrugation in railway tracks using acceleration data obtained from high-speed comprehensive inspection train. Although the amplitude of rail corrugation is small, it will arouse violent vibration between the wheel and rail under high-speed conditions, and accelerate the structural damage of track-vehicle system components. Combined with high-frequency Axle Box Acceleration (ABA), a time-frequency analysis-based Rail Corrugation Index and Energy Factor method are proposed to diagnose the rail corrugation of high-speed railway. The corrugation amplitude is estimated by the quadratic integral of filtered ABA. The new evaluation method uses the windowed energy index signal of the ABA to replace the original signal, and demodulates the high-frequency discrete response signal into a stable low-frequency energy signal without losing the vibration characteristics. Inverse SSTFT is applied to estimate the amplitude of rail corrugation. High-speed railway application results show that the proposed index can effectively diagnose the rail corrugation dynamically and quantitatively and estimate the degree of it.

本文介绍了一种利用高速综合检查列车获得的加速度数据来诊断和估计铁轨中轨纹的动态定量方法。钢轨波纹的幅度虽小，但在高速条件下会引起轮轨间的剧烈振动，加速轨道-车辆系统部件的结构破坏。结合高频轴箱加速度（ABA），提出了一种基于时频分析的轨道波纹指数和能量因子方法来诊断高速铁路的轨道波纹。波纹幅度通过滤波 ABA 的二次积分来估计。新的评估方法使用ABA的加窗能量指数信号来代替原来的信号，将高频离散响应信号解调为稳定的低频能量信号，同时不失振动特性。逆SSTFT用于估计钢轨波纹的幅度。高速铁路应用结果表明，所提出的指标可以有效地动态定量地诊断钢轨波纹并估计其程度。