Multiple Fault Detection & Analysis in Transmission Line Using IOT

An IoT-based multiple fault detection and localization system has been developed using an Arduino Uno and multiple sensing and communication modules. The system continuously monitors voltage, current, temperature, humidity, and dedicated cable fault inputs to identify low-voltage conditions, temperature abnormalities, short circuits, line-to-line faults, line-to-ground faults, and faults at predefined cable distances. GPS and GSM integration enables fault information and location details to be communicated to maintenance personnel, while the LCD provides real-time local monitoring.   The developed prototype demonstrates a practical and cost-effective approach for improving fault identification and reducing the time required to locate abnormalities in electrical cable networks. According to the project results, the system successfully detected the tested fault conditions and provided corresponding alerts. Future development can incorporate mobile-based remote monitoring and more advanced fault-detection algorithms to improve scalability and reliability.

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