DANN-based domain adaptation improves digital twin fault diagnosis test accuracy from 70.00% to 80.22% on real robot data.
A digital twin approach for fault diagnosis in distributed photovoltaic systems,
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A domain adaptation neural network for digital twin-supported fault diagnosis
DANN-based domain adaptation improves digital twin fault diagnosis test accuracy from 70.00% to 80.22% on real robot data.