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Bearing State Recognition Method Based on Transfer Learning Under Different Working Conditions
Bearing state recognition, especially under variable working conditions, has the problems of low reusability of monitoring data, low state recognition accuracy and low generalization ability of the model. The feature-based transfer learning method can solve the above problems, but it needs to rely o...
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| Yayımlandı: | Sensors (Basel) |
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| Asıl Yazarlar: | , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
MDPI
2019
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6983199/ https://ncbi.nlm.nih.gov/pubmed/31906150 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20010234 |
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