高铁牵引供电系统PHM与主动维护研究

随着我国高速铁路进入全面运营维护期,针对牵引供电系统与设备状态只能进行二元判断、故障诊断采用故障后处理方式以及维修维护只能采用被动模式等种种不足,提出将故障预测与健康管理(PHM)和主动维护应用于高速铁路牵引供电系统中,结合高速铁路牵引供电系统的多时空尺度性、动态性与随机性的特点,运用多尺度变换、时空联合分析以及随机过程等方法,实现故障的预测预警、系统健康状态的综合评估、全寿命周期可靠性的分析和风险的评估以及维修策略的决策与优化.研究结果表明:PHM与主动维护理论与方法的引入,能有效处理牵引供电系统的大量数据信息、综合表现从设备级到系统级的健康状态、在故障发生前及时预测预警并制定最优的主动维修维护策略;PHM与主动维护技术途径的实现,能在牵引供电系统处于不健康运行状态时及时做出应激反应,通过健康监控与智能维护系统一系列的感知、评估、预测、诊断与决策过程恢复牵引供电系统健康运行. 

PHM and Active Maintenance for High-Speed Railway Traction Power Supply System

As China's high-speed railways enter into a comprehensive operation and maintenance period, many problems are exposed such as binary judgment of system and equipment states, fault diagnosis after fault occurrence and passive maintenance. To deal with these problems, the prognostics and health management (PHM) and active maintenance in the traction power supply system of high-speed railway were introduced. The characteristics of traction power supply system such as multiple temporal and spatial scales, dynamics and stochastics were taken into account. By applying multi-scale transform, temporal and spatial joint analysis and stochastic process, the goals of fault prognostics, health status assessment, reliability and risk analysis, and maintenance decision and optimization were achieved. The results indicate that the theoretical application of PHM and active maintenance can process massive data in traction power supply system, show the health status of systems and equipment comprehensively, predict and forecast failures, and make the optimum maintenance decisions. The PHM and active maintenance can realize prompt response when the traction power supply system operates in an unhealthy state. It can restore the health operation by sensing, assessing, predicting, diagnosing and decision making of the health monitoring and intelligent maintenance system.