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Design of the Prognostics and Health Management Platform of High-Speed Railway Traction Power Supply Equipment

机译:高速铁路牵引电源设备预测和健康管理平台设计

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Traction power supply system, as the only power source of high-speed railway, the safety and reliability of its equipment's operation are very important. The effective integration and usage of the operation data of traction power supply equipment has been a hot research topic during recent years. In order to improve the utility of equipment's operation data, it is necessary to build a comprehensive platform to store, organize, calculate and display the operation data and put the prognostic and health management (PHM) algorithms of the equipment into application. This paper introduces the system structure and function realization of the prognostics and health management platform for high-speed railway traction power supply equipment. The core part of the platform is the PHM software, it can show the equipment monitoring and detection information on the interface. Besides, by combining the algorithms for fault prediction, fault diagnosis, health assessment, reliability assessment, risk assessment and maintenance strategy decision-making, it can also show the results calculated according to the PHM algorithms. Thus fault detection and prediction, health diagnosis and evaluation, maintenance decision-making and optimization can be well achieved by making full use of the operation data.
机译:牵引电源系统,作为高速铁路唯一电源,其设备的操作的安全性和可靠性非常重要。近年来,牵引电源设备运营数据的有效集成和使用是一个热门研究主题。为了改善设备的操作数据的效用,有必要建立一个综合平台来存储,组织,计算和显示操作数据,并将设备的预后和健康管理(PHM)算法放入应用中。本文介绍了高速铁路牵引电源设备预测和健康管理平台的系统结构和功能。该平台的核心部分是PHM软件,它可以在接口上显示设备监控和检测信息。此外,通过组合故障预测,故障诊断,健康评估,可靠性评估,风险评估和维护战略决策的算法,还可以显示根据PHM算法计算的结果。因此,通过充分利用操作数据,可以很好地实现故障检测和预测,健康诊断和评估,维护决策和优化。

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