轨道车辆故障诊断算法参数优选和故障监测部位确定

Parameter selection of fault diagnosis algorithm and the location of fault department on rail vehicles

摘要:

转向架作为轨道车辆的重要部件,其弹性部件与阻尼部件的安全对车辆的安全有着重要影响。对轨道车辆转向架的故障种类、故障状态以及故障诊断方法中参数的选择进行了研究。对车辆的故障产生后果和现实情况进行了分析。为实现转向架故障诊断算法的输入参数优选和对应故障敏感部位的确定,提出P指标进行评判。利用matlab对车体、转向架以及转向架与轮对之间的弹性部件和阻尼部件建模,建立轨道车辆一系悬挂、二系悬挂的故障模型以及部件性能衰退的故障模型。用P作为评价故障前后统计参数改变程度的指标。实现车辆故障诊断算法输入参数的优选和对应故障敏感部位的确定。经过仿真实验可以利用指标P对故障诊断算法的参数输入做出优选,对故障的监测部位有明确定位。

Abstract:

Bogie is an important part of railway vehicles， which has elastic components and damping components that have important influence on the safety of the vehicle. The types of the faults, the state of the faults and the selection of the parameters in the fault diagnosis methods for the bogies of rail vehicles are studied. The consequences of vehicle failure and the actual situation are analyzed.In order to realize the selection of the input parameters of the fault diagnosis algorithm and the determination of the corresponding fault location, the P index is proposed.Using the matlab models the car body and the bogie. A fault model of a vehicle suspension system is established. At the same time，fault model of the elastic components and damping components is established.The simulation of fault model can provide the data .P is used to evaluate the degree of change of satistical parameters before and after fault. At last realize the selection of the statistical parameter for the vehicle real time director diagnosis algorithm and the determination of the largest part of the vehicle vibration change. After the simulation experiment, the index P can be used to optimize the parameter input of the fault diagnosis algorithm, and determine the location of the fault.