Smart Predictive Maintenance Using Real-Time Machine Monitoring

Faculty Led by: Dr. Seema Ansari
IoT Lab Engineers: Adeet Kumar, Rahul Ludhwani
Department: IoT Department / ORIC
Category:  Science, Product, IoT Technology, Embedded System  

Forum Where Registered / Performed / Displayed etc:

The project was displayed at the Expo Center during the SHEC Exhibition and also showcased at the SHEC Project Exhibition held at Sindh Madressatul Islam University (SMIU). 

Status: Completed 

Field of Use:
Industrial Automation, Smart Manufacturing, Predictive Maintenance,  Energy Sector

Brief Activity Report:
This project focuses on developing a smart predictive  maintenance system that monitors machine health parameters such as temperature, vibration,  and RPM in real-time. The system helps detect early signs of potential failure, allowing for proactive maintenance and reducing downtime in industrial environments.