Active Broad-Transfer Learning Algorithm for Class-Imbalanced Fault Diagnosis
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DOI: 10.1109/tim.2022.3227995
Abstract: Knowledge transfer with class-imbalanced data is a challenge in predictive maintenance and fault diagnosis. Deep learning algorithms have provided promising results in fault diagnosis. However, their prediction performance is affected by class-imbalanced data in cross-domain… read more here.
Keywords: fault diagnosis; class imbalanced; active broad; class ... See more keywords