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作 者:刘俊杰 LIU Junjie(Nanning Rail Transit Co.,Ltd.,530029,Nanning,China)
出 处:《城市轨道交通研究》2024年第4期262-265,共4页Urban Mass Transit
摘 要:[目的]通过分析交流转辙机的三相动作电流异常情况能够判断道岔设备故障,但是城市轨道交通线路道岔数量众多,转辙机时时刻刻都在动作,运维人员无法实时查看所有转辙机的动作电流曲线,易造成故障定位遗漏,因此需研究智能化的道岔转辙机故障识别方法。[方法]介绍了ZDJ-9型交流转辙机故障识别判断逻辑;以ZDJ-9型交流转辙机电流曲线数据为基础,介绍了智能化道岔转辙机故障识别方法的核心内容,包括电流曲线分段、电流曲线特征提取和故障匹配。[结果及结论]在南宁轨道交通4号线培训室进行了ZDJ-9型交流转辙机智能化故障识别模拟试验,所采集到的电流数据按照以组为单位提供给算法分析软件进行电流分段及故障树匹配,均能精确匹配到相关故障,均能正确产生报警提示。试验结果表明,所提出的智能化道岔转辙机故障识别方法有效可行。[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.
分 类 号:U213.61[交通运输工程—道路与铁道工程]
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