ZPW-2000A轨道电路智能故障诊断算法应用研究  

Research on Application of Intelligent Fault Diagnosis Algorithm of ZPW-2000A Track Circuit

作　　者：刘琰琼[1] 

机构地区：[1]北京全路通信信号研究设计院有限公司,北京100073

出　　处：《铁路通信信号工程技术》2014年第1期29-32,44,共5页Railway Signalling & Communication Engineering

基　　金："十二五"国家科技支撑计划(2011 BAG05B02)

摘　　要：提出一种基于模糊推理的轨道电路智能故障诊断算法,通过对ZPW-2000A轨道电路监测子系统实时采集的信息进行智能分析,实时故障诊断,该诊断算法对于诊断轨道电路模拟元件的短路、开路等硬故障有较好的效果。在ZPW-2000A轨道电路监测子系统平台进行了工程化实现,在现场真实环境下,进行多种故障的测试,测试结果达到预期效果。This paper puts forward a track circuits intelligent fault diagnosis algorithm based on fuzzy inference. Through intelligent analysis of information collected by ZPW-2000A track circuit monitoring subsystem in real time, real-time fault diagnosis can be performed. The diagnostic algorithm has a good effect on the diagnosis of track circuit analog component short circuit, open circuit and other hard fault. ZPW-2000A track circuit monitoring subsystem platform is applied in engineering to conduct various fault tests on site, and the test results complete expected effect.

关 键 词：轨道电路 故障诊断 模糊推理 

分 类 号：U284.2[交通运输工程—交通信息工程及控制]