城轨车辆电气柜故障诊断方法研究

Research on Fault Diagnosis Method of Electrical Cabinet for Urban Rail Vehicles

摘要:

城轨车辆电气柜种类繁多,结构复杂,若依靠人工检测的方式进行故障的排除,不仅诊断效率低且可靠性差;通过对多个城轨车辆电气柜的具体分析,提出一种动态提取有向图结构模型并生成测试序列的算法,利用图的最优路径算法进行测试自检,最后使用一种适应性测试诊断树来完成故障的定位与隔离;实验表明,该诊断方法能够有效地对城轨车辆电气柜的故障进行诊断,且对于不同拓扑结构的城轨车辆电气柜具有良好的适应性。

Abstract:

There are many types of electrical cabinets in urban rail vehicles, and the structure is complex. Manual detection to eliminate the fault is not only low in diagnosis efficiency but also poor in reliability. Based on the analysis of multiple rail cabinets, an algorithm is proposed to dynamically extract the directed graph structure model and generate the test sequence. The optimal path algorithm is used to test the self-test. Finally, an adaptive test diagnosis Tree is used to complete the fault location and isolation. Experiments show that the diagnosis method can effectively diagnose the faults of electrical cabinets and have good adaptability to the electrical cabinets of different topologies.