Deep multiscale feature fusion network with dual attention for rolling bearing remaining useful life...
Deep multiscale feature fusion network with dual attention for rolling bearing remaining useful life prediction
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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Aiming at the existing life prediction methods for rolling bearing degradation information mining is not sufficient, the critical time step information degree is insufficient, resulting in the loss of key degradation information, model prediction accuracy and model generalization ability is insufficient, this paper proposes a novel deep multiscale...
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Deep multiscale feature fusion network with dual attention for rolling bearing remaining useful life prediction
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TN_cdi_doaj_primary_oai_doaj_org_article_7e6f74fc9bb541dfb5549f438605fd88
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7e6f74fc9bb541dfb5549f438605fd88
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-025-97380-x
