This initiative aims to predict equipment failures by using data from the sensors and logs, enabling proactive maintenance, and optimizing resource allocation.
HVAC System Health Monitoring
Prognostic-Diagnostic Unit (PDU) for HVAC systems that utilizes machine learning to model behavior and compare predicted compressor power consumption with actual consumption, generates alerts for any deviations.
Electrical System Fault Prediction
Real-time monitoring of bowler arm action and ball release speed with sensors, prediction modeling, and Android app.
Engine Fault Prediction
By utilizing real-time sensor data and informed understanding of potential issues, aircraft systems, including Engine, Structures, Avionics, and Support systems, are effectively maintained in optimal condition.
Server Crash Prediction