Dr Loganathan N (7 results)

Condition: New.

Condition: New.

Paperback. Condition: new. Paperback. This proposed presents an IoT-based single-phase transmission line fault detection system that enables real- time monitoring and automated fault diagnosis.The proposed system consists of an ESP32 microcontroller, current and voltage sensors, and a cloud-based platform for remote data access. The sensors continuously measure electrical parameters, and the ESP32 processes this data to identify abnormalities. When a fault is detected, the system sends real-time alerts to a Firebase database or an IoT dashboard, allowing utility operators to take immediate corrective action. Additionally, a web or mobile application provides remote access to fault data, improving response efficiency. This IoT-driven approach enhances the reliability of power distribution networks by enabling early fault detection, remote monitoring, and reduced downtime. The system is scalable, cost-effective, and energy-efficient, making it a viable solution for modernizing fault detection in single-phase power systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: N LoganathanN. Loganathan from Erode. I did my Bachelors of EEE at Regional Center of Anna University in Coimbatore (2012) and masters in Power Systems Engineering KSR at Tiruchedgode (2015). Currently, I have to work at Sri Krishna .

Condition: New. Print on Demand.

Paperback. Condition: new. Paperback. This proposed presents an IoT-based single-phase transmission line fault detection system that enables real- time monitoring and automated fault diagnosis.The proposed system consists of an ESP32 microcontroller, current and voltage sensors, and a cloud-based platform for remote data access. The sensors continuously measure electrical parameters, and the ESP32 processes this data to identify abnormalities. When a fault is detected, the system sends real-time alerts to a Firebase database or an IoT dashboard, allowing utility operators to take immediate corrective action. Additionally, a web or mobile application provides remote access to fault data, improving response efficiency. This IoT-driven approach enhances the reliability of power distribution networks by enabling early fault detection, remote monitoring, and reduced downtime. The system is scalable, cost-effective, and energy-efficient, making it a viable solution for modernizing fault detection in single-phase power systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condition: New. PRINT ON DEMAND.