Intelligent Health Management System for Rail Transit Signaling System Power Supply

Abstract

Objective The dual-bus and dual-interruptible power supply (UPS) architecture in rail transit signaling system power supply enhances the system redundancy but does not effectively reduce component failure rates. To improve the safety and reliability of the rail transit signaling system, it is necessary to develop an intelligent health management system for signal power supply, enabling real-time monitoring, fault diagnosis, and predictive maintenance of signaling system power supply and equipment. Method The design requirements, architecture, module composition, and functions of the intelligent health management system for rail transit signaling system power supply are elaborated in detail. The system is based on real-time monitoring of the operational status for the signaling system power supply or equipment. By understanding the structure and operating principles of the signaling system power supply, the precise simulation and life prediction models are constructed. Functions such as data acquisition, health status analysis, fault diagnosis, and fault prediction are used to implement health management for the signaling system power supply throughout its lifecycle. Result & Conclusion The intelligent health management system for rail transit signaling system power supply utilizes big data processing and mining, applies the AHP (analytic hierarchy process) method and simulation models, aiming to achieve intelligent lifecycle health management of the signaling system power supply, improving reliability and safety while reducing maintenance costs.

Keywords

• signal power supply
• intelligent health management
• fault diagnosis
• fault prediction
• predictive maintenance
• simulation model
• full lifecycle health management
• spare parts management