Journal of Electrical Engineering and Automation

With the rapid advancement of smart grid and IoT technologies, intelligent monitoring of power equipment has become a crucial measure for ensuring stable power system operations. This paper proposes an IoT-based condition monitoring and early-warning system for power equipment, designed to detect equipment failures and potential risks through real-time data collection, transmission, and analysis. By leveraging sensor networks, data transmission technologies, and big data analytics, the system achieves comprehensive monitoring and intelligent alerts for power equipment status. Through precise fault prediction, it significantly enhances the reliability and safety of power systems. Experimental results demonstrate that this system markedly improves fault prediction accuracy while providing robust technical support for power maintenance.

Internet of Things; Power equipment; Condition monitoring; Early warning system; Fault prediction