Integrating vibration signal analysis and image embedding for enhanced bearing fault diagnosis in ma...
Integrating vibration signal analysis and image embedding for enhanced bearing fault diagnosis in manufacturing
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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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Bearing fault diagnosis in mechanical systems is an imperative task across various industries, including manufacturing, energy, and transportation. Although recent advances in deep learning have enabled automated approaches for fault diagnosis, these approaches often fail to incorporate vital domain-specific knowledge and operating conditions into...
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Full title
Integrating vibration signal analysis and image embedding for enhanced bearing fault diagnosis in manufacturing
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TN_cdi_doaj_primary_oai_doaj_org_article_ed8e726881544330a9277772c51bf253
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ed8e726881544330a9277772c51bf253
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-025-94351-0
