Updated on 25 September 2026
Predictive Maintenance & Digital Twin for High-Precision Equipment
Ingénieur Développement Partenarial at Université de Lorraine - UNYS
Nancy, France
About
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We support industrial partners in implementing Digital Twins and Predictive Maintenance (PHM - Prognostics and Health Management) models. By combining sensor data analysis (vibration, temperature, power consumption) with physical behavioral modeling of your production lines, we develop algorithms capable of predicting tool wear and critical component failures before they occur.
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Keywords: Digital Twin, Health Monitoring, Industrial IoT, Predictive Algorithms, Zero Defect.
Field
- Digital & ICT
- Industrial Equipment and Machinery
- Materials & Surface Treatment
- Nano- and Microtechnologies
Attached files
Organisation
Similar opportunities
Expertise
Process Optimization & Material Behavior Under Extreme Constraints
- Digital & ICT
- Nano- and Microtechnologies
- Materials & Surface Treatment
- Industrial Equipment and Machinery
Sébastien Borraccino
Ingénieur Développement Partenarial at Université de Lorraine - UNYS
Nancy, France
Expertise
Operations Research, Production Planning & Decision Support Systems
- Digital & ICT
- Nano- and Microtechnologies
- Materials & Surface Treatment
- Industrial Equipment and Machinery
Sébastien Borraccino
Ingénieur Développement Partenarial at Université de Lorraine - UNYS
Nancy, France
Product
STELIO Measurement system for non-contact inspection of materials
- Microtechnology
- Luxury & Watchmaking industry
Frédéric BADON
COO at ARDPI GROUP
Dijon, France