Summary
Used machine learning to predict equipment failures in commercial HVAC chillers before breakdowns occurred. Integrated sensor, maintenance, and facility data to detect deteriorating performance conditions. Shifted maintenance from reactive to proactive, reducing downtime and emergency repairs. Improved asset reliability, service efficiency, and customer satisfaction across building portfolios.