Journal of Electrical Engineering and Automation

The development and optimization of the on - line partial discharge monitoring system for electrical equipment aim to enhance the safety and reliability of power system operation. By real - time monitoring and analyzing partial discharge signals, this system can detect potential faults at an early stage and prevent the occurrence of major accidents. This paper elaborately introduces the design and implementation process of an on - line partial discharge monitoring system based on advanced sensing technology and intelligent algorithms, covering aspects such as hardware architecture design, signal processing methods, construction of fault diagnosis models, and their experimental verification. The experimental results show that the proposed system has high detection accuracy and stability, and can effectively improve the efficiency and accuracy of electrical equipment maintenance.

Partial Discharge; On - line Monitoring; Fault Diagnosis; Intelligent Algorithm