Develop a model utilizing real time equipment data in conjunction with historical material and process data to generate a Virtual bulk density sensor. The model will assist equipment operators in optimizing the stability of a running process while reducing the impact of material changes and equipment startup.
- Fall mentor time: Thursday: 9:30 AM Eastern
- Fall lab time: Tuesday: 9:30 AM Eastern
- Tools: github, python, sql
- Topics: dashboards, machine learning, visualizations, statistical modeling
- Requirements: Open to all students