VIVARIUM - Visualisation of welding data for manual anomaly detection - Self-Learning System for Anomaly Detection

The focus is to facilitate the decision-making processes in the application of arc welding systems by implementing advanced visual analytics methods. This will be achieved by developing a specialised visual analytics tool that supports human users to quickly identify, investigate and understand anomalies in complex, multi-dimensional data (e.g., welding current, welding voltage, wire movement) captured by welding equipment.