Summary
Machine learning models analyzed fleet and sensor data to predict critical equipment failures before they occurred. Early alerts enabled maintenance teams to schedule repairs during planned downtime. This reduced unplanned outages, lowered maintenance costs, and improved overall asset reliability and operational productivity.