Summary
Used machine learning to predict centrifuge failures in upstream biomanufacturing before they disrupted production. Integrated disparate operational and sensor data into unified, actionable insights. Reduced false alarms while providing earlier, more reliable alerts for operators. Improved asset uptime, protected product yield, and safeguarded manufacturing revenue.