Background Power supplies are critical components in high-energy physics facilities and accelerator systems. Aging testing is essential to verify long-term reliability and operational stability, but such tests feature long durations and massive data volumes, making manual monitoring inefficient and infeasible. Stable communication and real-time parameter monitoring are also vital for ensuring safe and controllable operation during testing.

Purpose This study aims to develop a highly reliable, automated system for long-term monitoring, data recording, and fault diagnosis of power supplies during aging tests, with the goal of achieving uninterrupted data acquisition, accurate fault logging, and strong system stability for industrial-grade accelerator power supply applications.

Methods An integrated monitoring and fault diagnosis system is constructed based on the Experimental Physics and Industrial Control System (EPICS) architecture. Control System Studio (CSS) is used to develop the operator interface. JavaScript is applied to implement a robust multi-PV secure reading mechanism. Per-variable anomaly isolation and try-catch exception handling are adopted to ensure fault localization and system robustness. A dual-thread structure is designed to separate UI interaction and background data recording.

Results The system was validated in 72 h aging tests on three types of power supplies. It achieved stable continuous data recording at a 10 s sampling interval, accurately captured communication anomalies, and generated standardized fault logs. No crashes or data losses occurred during long-term operation, and all monitored parameters remained within designed accuracy ranges.

Conclusions The developed system satisfies the requirements of long-duration, high-stability power supply aging monitoring. It enables automatic data collection, real-time visualization, and precise fault diagnosis, greatly improving test efficiency and traceability. The system provides a practical and standardized solution for automated aging evaluation of accelerator power supply systems.