To measure, quantify and analyze the time periods between key engine/vehicle and fault-related events that generate data to identify and determine service window opportunities for different types of service actions.
- Fall mentor time: Tuesday: 12:30 PM Eastern
- Fall lab time: Thursday: 11:30 AM Eastern
- Tools: databricks, github, python
- Topics: big data, timeseries
- Requirements:
Participation in this project is open to students who are eligible to receive export-controlled technical information under applicable U.S. regulations, without requiring a license. Verification of eligibility may be requested prior to or during the project.