基于转辙机牵引力和PSO-SVM的道岔故障诊断研究

摘要

随着高速铁路的快速发展,道岔故障频发,成为一直是急需解决的重大安全问题;首先从道岔的运行原理出发,研究了转辙机拉力对道岔的影响;然后进行了转辙机的电动机的功率和电流参数的比较,结果表明,转辙机拉力更能直观反映道岔的运行情况;最后提出了用转辙机拉力参数实现基于粒子群算法优化支持向量机(PSO-SVM)的道岔故障诊断算法;经过对实际数据的处理,表明此种诊断方法对道岔的故障有较好的分辨能力.%With the rapid development of high-speed railway,turnout faults have been an urgent problem to be solved.Firstly,from the operation principle of turnout,the influence of traction force of switch machine on turnout is studied;then compared to the power and current parameters of the switch motor,and it was found that the switch traction can more directly reflect the operation conditions of turnouts;finally it put forward the turnout fault diagnosis algorithm based on PSO-SVM and the switch traction parameters.After the processing of the actual data,it was found that this diagnostic method had good resolving power on the turnout faults.