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Uncertainty-aware deep learning for digital twin-driven monitoring: Application to fault detection in power lines.
Laya Das
Blazhe Gjorgiev
Giovanni Sansavini
Published in:
CoRR (2023)
Keyphrases
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fault detection
deep learning
condition monitoring
failure detection
decision support
industrial processes
fault detection and diagnosis
fault diagnosis
machine learning
pattern recognition
unsupervised learning
fault identification
decision making
intelligent systems
tennessee eastman