Develop a robust analytical tool to continuously monitor engine performance using existing operational data. The tool will generate performance curves and establish post-overhaul baselines to assess engine health over time. By analyzing trends and deviations in key performance indicators, the system will identify anomalies and outliers in engine component behavior, enabling early detection of potential issues and supporting proactive maintenance strategies.
- Fall mentor time: Friday: 11:30 AM Eastern
- Fall lab time: Monday: 11:30 AM Eastern
- Tools: powerbi, python, r, sql
- Topics: machine learning, visualizations
- Requirements: Open to all students