Intelligent Identification Method for ZDJ-9 AC Turnout Switch Machine Faults
Journal Title: Urban Mass Transit - Year 2024, Vol 27, Issue 4
Abstract
Objective By analyzing abnormal three-phase action currents of AC switch machines, it is possible to identify faults in the turnout equipment. However, due to the constant operation of switch machines for large number of turnouts on urban rail transit lines, operation and maintenance personnel cannot monitor the action current curves of all switch machines in real-time, which may lead to omission in fault localization. Therefore, there is a need to research intelligent fault identification methods for switch machines. Method The fault identification and judgment logic of ZDJ-9 AC switch machine are introduced. Based on the current curve data of ZDJ-9 AC switch machine, the core content of intelligent fault identification method for switch machine is presented, including current curve segmentation, current curve feature extraction, and fault matching. Result & Conclusion A simulation test is conducted on the intelligent fault identification of ZDJ-9 AC switch machine in the training room of Nanning Metro Line 4, and the collected current data is provided to the algorithm analysis software for current segmentation and fault tree matching on a group basis. Therefore, the relevant faults are accurately matched, and alarm prompts are generated correctly. The experimental results indicate that the proposed intelligent fault identification method for switch machines is effective and feasible.
Authors and Affiliations
Junjie LIU
Keywords
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- EP ID EP734197
- DOI 10.16037/j.1007-869x.2024.04.051
- Views 13
- Downloads 0
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