Optimized digital twin for fault diagnosis
- Online hyperparameter-tuning-based Bayesian optimization to diagnose faults in grid connected inverters under a limited set of training data.
- Unlike existing digital twin approaches relying on opaque algorithms, our solution not only enhances the resilience of its physical counterpart, but also offers instructive insights by formalizing high confidence over its decisions.