Optimizing a Digital Twin for Fault Diagnosis in Grid Connected Inverters -- A Bayesian Approach

no code implementations • 7 Dec 2022 • Pavol Mulinka, Subham Sahoo, Charalampos Kalalas, Pedro H. J. Nardelli

In this paper, a hyperparameter tuning based Bayesian optimization of digital twins is carried out to diagnose various faults in grid connected inverters.

Bayesian Optimization Fault Detection

A Robust and Explainable Data-Driven Anomaly Detection Approach For Power Electronics

no code implementations • 23 Sep 2022 • Alexander Beattie, Pavol Mulinka, Subham Sahoo, Ioannis T. Christou, Charalampos Kalalas, Daniel Gutierrez-Rojas, Pedro H. J. Nardelli

Timely and accurate detection of anomalies in power electronics is becoming increasingly critical for maintaining complex production systems.

Anomaly Detection Time Series +1