Component
D2Twin
Framework for developing manufacturing digital twins from past (product, process) data. The main advantage is the data-driven model which can be used in real time for anomaly detection and in design time for the simulation
AI4 Manufacturing
Process Control | Digital twins for process control
Production | Digital twins for production
Maintenance | Digital twins for maintenance
Maintenance | Asset Management
Maintenance | Intelligent maintenance/ Predictive maintenance
Types
Artificial Intelligence | Orchestrator
Software | Framework
Trend
Artificial Intelligence
Technical Categories (JRC)
Learning | Machine learning
Services | AI services
Programming Language
Python
Developed in Project
Developed in AI REGIO
TRL
9