Overhead AC Line Fault Detection
Article Sidebar
Main Article Content
Electrical power distribution systems often face challenges due to environmental disturbances and delayed fault detection. This paper presents an Overhead AC Line Fault Detection and Monitoring System for improving safety and reliability. The system uses an ESP32 microcontroller integrated with IoT technology for real-time monitoring. It continuously observes voltage levels across multiple AC poles to detect faults and abnormalities. Temperature and flame sensors are used to monitor battery health and detect fire hazards. Sensor data is processed using embedded programming with predefined threshold values. In case of faults, the system generates instant alerts and updates the IoT cloud platform. An automatic cooling mechanism using a DC fan prevents overheating conditions. The ESP32 enables wireless data transmission for remote monitoring and quick response. The system reduces downtime, manual inspection, and improves operational efficiency. Overall, the solution is cost-effective, scalable, and suitable for modern power distribution networks.
Downloads
References
“IoT-based Overhead Power Line Fault Detection System,” International Journal of Electrical Engineering and Technology, 2025.
A. Kumar, “Smart fault detection in power transmission lines using IoT,” IEEE Access, 2024.
R. Sharma and P. Singh, “Real-time monitoring of electrical distribution systems using ESP32,” arXiv preprint, 2025.
S. Raj and M. Karthik, “IoT-enabled voltage monitoring and fault detection system,” Journal of Smart Grid Technology, 2024.
“Fire detection and safety system for electrical infrastructure,” IET Research Journals, 2025.
P. Verma et al., “IoT applications in smart grid and power system monitoring,” ScienceDirect Review, 2025.
K. Ramesh et al., “Embedded system-based fault detection using sensors and IoT,” Springer, 2025.
D. Prakash, "Temperature monitoring and protection system for battery units using IoT," 2023.
M. S. Kumar, "Real-time power system monitoring using ESP32 and cloud platform," 2023.
D. Prakash, "IoT-based electrical fault detection and alert system,"

This work is licensed under a Creative Commons Attribution 4.0 International License.
All articles published in our journal are licensed under CC-BY 4.0, which permits authors to retain copyright of their work. This license allows for unrestricted use, sharing, and reproduction of the articles, provided that proper credit is given to the original authors and the source.