Towards High-Fidelity and Trustworthy Digital Twins for Fault Diagnosis in Grid Connected Inverters

Fuente: Zenodo

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Détails bibliographiques
Auteurs principaux:	Mulinka, P., Christou, I., Sahoo, S., Kalalas, C., Nardelli, P.H.J.
Format:	Recurso digital
Langue:	anglais
Publié:	Zenodo 2025
Sujets:	Association rules Data mining Decision making Digital twin Electric fault currents Electric inverters Failure analysis Power electronics Fault detection and diagnosis Faults diagnosis Grid connected inverter Grid-connected High-fidelity Hyper-parameter Hyperparameter tuning Quantitative association rule mining Quantitative association rules Rule mining Fault detection
Accès en ligne:	Acceder al recurso
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