Industrial Machine Failure Prediction System ...

Industrial Machine Failure Prediction System using IoT, Vibration and Thermal Sensors

Author Name : Rajendra B. Khule, Pranay Zilpe, Abhishek Sahare, Rutuja Malwe, Khushabu Gorle

ABSTRACT Modern manufacturing and industry heavily rely on industrial machines, which have unpredictable failures, which may result in serious downtime, higher maintenance costs, and health hazards. This study proposes an IoT implemented Industrial Machine Failure Predication System that relies on the use of vibration sensors and thermal sensors to monitor the conditions in real-time. The system monitors the measurements all the time like vibration and changes in temperature, major signs of mechanical and thermal defects. The sensor data is sent to the ESP32-based controller that then processes and sends it to the IoT platforms to be analyzed and visualised. The system identifies the abnormal behavior before it can happen by comparing real-time data with the set thresholds and patterns.