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.
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)
关键词
轨道电路
故障诊断
模糊推理
track circuit
fault diagnosis
fuzzy inference
