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Published in 2022 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2021.3135616
Abstract: As for some machineries in real industrial applications, it is difficult to obtain massive labeled data. Therefore, transfer learning is introduced to apply the knowledge learned from labeled datasets on the unlabeled data for the…
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Keywords:
transfer network;
partial transfer;
multisource partial;
domain ... See more keywords
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Published in 2021 at "Entropy"
DOI: 10.3390/e23040424
Abstract: Domain adaptation-based models for fault classification under variable working conditions have become a research focus in recent years. Previous domain adaptation approaches generally assume identical label spaces in the source and target domains, however, such…
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Keywords:
fault;
transfer fault;
partial transfer;
fault diagnosis ... See more keywords