Metal temperature drift analysis in Grande Maison pivot
2018.12 ENSE3 & EDF Hydro Alpes Hackathon, Grenoble, France
The objective of this project is to pinpoint the root cause of temperature drift in a hydraulic production group by leveraging artificial intelligence tools.
Achievements:
- Processed the database using R for comprehensive analysis.
- Implemented a machine learning algorithm
Prize:
- Grand prix du jury