Fault diagnosis method for track circuit red light belt based on fta and multi-level fuzzy neural subnetwork
A technology of fuzzy neural and fault diagnosis, which is applied in electrical testing/monitoring, instruments, control/regulation systems, etc., and can solve problems such as failure to meet the requirements of track circuit fault diagnosis
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[0091] Diagnose the "red light band fault" of the ZPW-2000 track circuit.
[0092] figure 2 Shown is the structural schematic diagram of ZPW-2000 track circuit system, which is mainly composed of transmitter, receiver, attenuator, lightning protection combination, cable simulation network, SPT cable, compensation capacitor, matching transformer, and tuning unit in the electrical insulation section And air core coil and other equipment. The diagnostic scheme for the "red light band fault" of the ZPW-2000 track circuit is implemented as follows:
[0093] 1) FTA qualitative analysis:
[0094] first as image 3 As shown, through fault investigation and analysis, a fault tree model of the macroscopic ZPW-2000 track circuit system is built, and its fault types are divided into indoor faults and outdoor faults; and then as Figure 4 As shown, taking the red light belt fault as the top event, combined with expert experience and fault investigation and analysis results, the fault ...
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