CROSSING Project
Title: Predictive Maintenance with Experts in the loop
Approval Date: Oct. 2021
Summary
The objective is to design an AI able to anticipate the drifts of electronic components in complex embedded systems. The AI will learn from existing data to be properly selected and processed while considering the feedbacks of human experts and will evolve continuously to provide new maintenance schemes
Related roadmap thrusts and axis
– Thrust 2: New Algorithms for Energy-Efficient and Human Based AI
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- Axis 2.1 Cross Learning Between Humans and Machines
Project Members
| Name | Organisation | Role |
| M. Jean-Victor AUTRAN | Ariane Group | PhD Student |
| Prof. Cedric BUCHE | CNRS / ENIB | Primary PhD Supervisor |
| Dr. Jean-Philippe DIGUET | CNRS | Primary PhD Supervisor |
| Dr. Véronique Kuhn | Ariane Group | Technical Industry PhD Advisor |
Project Funding
- Ariane Group
Start / Duration
- Jan. 22 / 3 years