ABSTRACT

Proper maintenance of railway tracks is essential to ensure railway safety. A track condition monitoring system was developed for the preventive maintenance of the track by installing the on-board sensing device in the in-service vehicles and monitoring the track condition by measuring the car-body acceleration. This paper describes the application of time–frequency analysis for the condition monitoring of railway tracks. Car-body acceleration simulated by a 10-DOF vehicle model, with a faulty track, was used to identify the track faults using Hilbert–Huang transform (HHT). Field tests were carried out using the developed track condition monitoring system to show the effectiveness of the time–frequency analysis using HHT. Simulation studies and field test results showed that HHT can yield a good time–frequency resolution and that intrinsic mode functions (IMFs) can provide the detailed information of track faults.

摘要

正确维护铁路轨道对于确保铁路安全至关重要。通过在在役车辆上安装车载传感装置，通过测量车身加速度来监测轨道状态，开发了一种轨道状态监测系统，用于轨道的预防性维护。本文介绍了时频分析在铁路轨道状态监测中的应用。通过 10 自由度车辆模型模拟的车身加速度，具有故障轨道，用于使用 Hilbert-Huang 变换 (HHT) 识别轨道故障。使用开发的轨道状态监测系统进行了现场测试，以显示使用 HHT 进行时频分析的有效性。