首页> 外文期刊>Journal of Residuals Science & Technology >Research on Combined Co-Phase Power Supply Equipment Maintenance Decision Modeling and Optimization Based on Markov Process
【24h】

Research on Combined Co-Phase Power Supply Equipment Maintenance Decision Modeling and Optimization Based on Markov Process

机译:基于马尔可夫过程的联合同相供电设备维修决策建模与优化研究

获取原文
       

摘要

For power supply breakpoint caused by power phase separation in traction power supply system of power frequency AC system, it is one of the important problems restricting the transport capacity and speed improvement. Thanks to the implementation of co-phase power supply, traction substation can save the exit phase separation, which will help improve the technical speed of train operation, enhance the rail capacity and achieve a very significant efficiency. This paper proposed a structure of electrified railway combined co-phase power supply equipment delved into its state maintenance decision modeling and optimization, and helped work best for operation reliability and economic efficiency. Based on results of example analysis, reasonable maintenance strategy was made as per the state transfer probability, maintenance time, cost and other factors. In this way, the maintenance cost within the life circle can be reduced, which provides an important theoretical and practical significance.
机译:对于工频交流系统牵引供电系统中由于电源相分离引起的电源断点,是制约运输能力和提高速度的重要问题之一。由于采用了同相电源,牵引变电所可以节省出口相分离,这将有助于提高列车运行的技术速度,增强铁路通行能力,并实现非常显着的效率。提出了电气化铁路联合同相供电设备的结构,对其状态维护决策模型进行了建模和优化,以使其在运行可靠性和经济效益方面发挥最佳作用。根据实例分析的结果,根据状态转移概率,维护时间,成本等因素,制定了合理的维护策略。这样可以减少生命周期内的维护成本,具有重要的理论和实践意义。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号