Motor bearing fault diagnosis based on industrial internet of things and transfer learning
IntroductionMotor bearing faults seriously affect industrial safety and efficiency. Traditional diagnosis methods often lack adaptability across conditions and rely heavily on labeled data. This study proposes a fault diagnosis model integrating the Industrial Internet of Things (IIoT) and transfer...
Kaydedildi:
| Yazar: | |
|---|---|
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Frontiers Media S.A.
2025-08-01
|
| Seri Bilgileri: | Frontiers in Mechanical Engineering |
| Konular: | |
| Online Erişim: | https://www.frontiersin.org/articles/10.3389/fmech.2025.1647310/full |
| Etiketler: |
Etiket eklenmemiş, İlk siz ekleyin!
|