可拓学在高速轨道车辆齿轮箱运行状态监测中的应用

Application of Extension Theory to Monitoring the Running State of the High-Speed Railway's Gearbox

提出一种基于可拓学理论的高速轨道车辆齿轮箱运行状态监测方法.通过选取适当的特征参数,建立齿轮箱正常运行时在各振动方向的物元模型.采用基于仿生优化方法的粒子群优化算法对物元模型特征参数的经典域进行优化.在特征参数经典域优化结果及关联函数基础上,基于Matlab GUI界面设计齿轮箱的运行状态监测系统,对齿轮箱在各方向的当前振动状态进行定性定量监测.其分析结果与齿轮箱的实际运行状态相一致,验证了该方法的正确性.

A new method for monitoring the running state of the high-speed railway＇s gearbox based on the extension theory was proposed.By extracting the suitable characteristic parameters,the matter-element models of the gearbox in vibration directions during its normal operating status were established.A new evolutionary algorithm,the particle swarm optimization（PSO）algorithm was used to get the characteristic parameters＇classical domains.On the basis of the classical domains＇optimization results and the dependent function,the running status monitoring system of the gearbox was designed based on the Matlab GUI.This system can qualitatively and quantitatively estimate the current running condition of the gearbox in vibration directions.The results of the monitoring system show a good consistency with the gearbox＇s actual running state,and verify the accuracy of the monitoring method based on the extension theory.