Final Year Engineering Project

The Smart Transformer Health Monitoring System is an Industrial IoT-based predictive maintenance platform designed to monitor transformer conditions and predict potential failures using Machine Learning.A React-based dashboard displays real-time monitoring graphs and prediction results.

It collects data of various parameters of transformer like voltage,current,oil level, temperature . Use of IOT allow to monitor parameters from remote locations for multiple sites. (Node MCU esp8266 , Arduino IDE, Proteus)

IoT-based Transformer Health Monitoring System using Arduino with temperature, current, oil level, and oil quality sensors. It provides real-time monitoring of transformer conditions, detects faults like overheating or low oil level, and helps improve safety and predictive maintenance.

Transformer Health Monitoring System monitors temperature, voltage, and current in real time using sensors and a microcontroller (Arduino/ESP32). It detects faults and abnormal conditions and uses Blynk IoT for visualization and alerts, improving reliability, safety, and efficiency of power systems.