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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.