Open access
2026
Adaptive Online-Learning Digital Twin for Edge-Based Prediction of Process Stability in Thin-Wall Machining
An edge-deployable digital twin framework that incorporates online machine learning for real-time monitoring of process stability and surface quality and enables continuous model adaptation to non-stationary machining dynamics, thereby eliminating the need for complete model retraining.
Viswajith S. Nair, K. Rameshkumar, S. Saravanamurugan
· IEEE Access · 0 citations