Metal temperature drift analysis in Grande Maison pivot

2018.12 ENSE3 & EDF Hydro Alpes Hackathon, Grenoble, France

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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