城市轨道交通车辆制动系统的智能诊断与预警系统

Intelligent Diagnosis and Early Warning for Urban Rail Transit Vehicle Braking System

目的:为提升城市轨道交通车辆故障预警功能及预警准确率,进一步实现城市轨道交通车辆智能运维,构建了车辆制动系统的故障智能诊断与故障预警系统。方法:在地面端广泛收集城市轨道交通车辆制动系统运行数据及故障数据,深入研究制动系统各类故障的起因、征兆及其在运行数据中的特征,构建基于机理与机器学习两类智能诊断算法模型;通过车地联动高效、快速地将车辆数据传输至地面智能运维平台,同时将两类智能诊断算法模型集成到地面平台,实现车辆运行数据的故障智能诊断及故障预警,并根据故障诊断、故障预警结果自动生成检修维护建议,降低车辆在途故障率,从而提高城市轨道交通车辆的可用性和检修效率。结果及结论:通过在某城市轨道交通线路的实际应用,验证了该系统能够对城市轨道交通车辆制动系统大部分故障点进行预警及故障定位,可提升城市轨道交通车辆制动系统的可靠性和检修维护效率。

Objective:To enhance the fault warning function and accuracy of urban rail transit vehicles,and further realize intelligent operation and maintenance of the vehicles,an intelligent diagnosis and fault warning system for the vehicle braking system is constructed.Method:According to the extensively collected operational data and fault data of urban rail transit vehicle braking system on the ground end,the causes,symptoms,and characteristics of various brake system faults in the operational data are thoroughly studied,intelligent diagnosis algorithm models based on both mechanism and machine learning are constructed.By efficiently and quickly transmitting vehicle data to the ground intelligent operation and maintenance platform through vehicle-ground linkage,the two types of intelligent diagnosis algorithm models are integrated into the ground platform to achieve intelligent fault diagnosis and fault warning of vehicle operational data.Maintenance suggestions are automatically generated based on the fault diagnosis and fault warning results,to reduce the on-route failure rate of vehicles and improve the availability and maintenance efficiency of urban rail transit vehicles.Result&Conclusion:Through actual application on a certain urban rail transit line,it has been verified that the system can warn and locate most of the fault points in urban rail transit vehicle braking system,and improve the reliability and maintenance efficiency of the above vehicle braking system.