基于转辙机牵引力和PSO-SVM的道岔故障诊断研究

Research on Turnout Fault Diagnosis Algorithm Based on SVM

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.