Design of the prognostics and health management platform of high-speed railway traction power supply equipment

Abstract

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.