Railway Track Circuit Fault Diagnosis Based on Support Vector Machine with Particle Swarm Optimization

被引：0
|
作者：
Zhang, Meng-qi [1 ]
机构：
[1] Beijingjiaotong Univ, Beijing, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON ELECTRICAL, CONTROL AND AUTOMATION ENGINEERING (ECAE 2013) | 2013年
关键词：
Track circuit; SVM; PSO; Fault diagnosis;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The railway track circuit is one of the essential components in Chinese Train Control System (CTCS). Its faults may cause major accidents and threat the life safety of passengers. In this paper the research was done in a track circuit fault diagnosis method which based on SVM model and the parameters of the model are optimized by PSO algorithm. The model shows a good performance in the track circuit fault diagnosis and provides a feasible method for the future fault diagnosis research of CTCS.
引用
收藏
页码：113 / 117
页数：5
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