基于数据驱动的CRH高速列车悬挂系统早期故障检测

作为CRH (China railway high-speed)高速列车的重要组成部分,悬挂系统的可靠性对列车的安全运行和乘坐舒适性具有重要意义,为此,利用悬挂系统传感器数据,提出一种基于数据驱动的早期故障检测方法.首先,根据系统动态搭建列车悬挂系统Simpack模型,其中作动器的主动控制力作为系统输入,轨道不平顺由不平顺功率谱模拟产生激励信号,并作为系统的扰动信号;然后,在悬挂系统离散模型的基础上,通过传感器的输出构建数据模型,并构造输入输出数据矩阵;最后,通过数据矩阵构造残差量,并依照离线和在线的故障检测方案,实现对故障的指示.仿真结果表明,所提出的故障检测方案对悬挂系统执行器和传感器的早期故障具有较高的灵敏度.

Data-driven design based incipient fault detection for CRH suspension system

As an important part of CRH(China railway high-speed) trains, the reliability of the high-speed train suspension system is of critical importance to the safety of the entire trains. A data-driven based incipient fault detection scheme is proposed based on the sensor data of a suspension system. Firstly, a suspension system simpack model is established using system dynamics, where the active force of an actuator is acted as the system input, and the track irregularity is regarded as the system disturbance. Then, based on the discrete model of suspension system, the data model and input/output data matrices are constructed by using the sensor measurements. Finally, the off-line and on-line detection scheme are proposed based on the residual constructed by data matrices. The simulation results show that the proposed scheme has high sensitivity on incipient actuator and sensor faults of high-speed train suspension systems.