Research on Fault Diagnosis of Rolling Bearing Based on Gramian Angular Field and Lightweight Model
Due to the limitations of deep learning models in processing one-dimensional signal feature extraction, and high model complexity leading to low training accuracy and large consumption of computing resources, this paper innovatively proposes a rolling bearing fault diagnosis method based on Gramian...
Kaydedildi:
| Asıl Yazarlar: | , , , , |
|---|---|
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
MDPI AG
2024-09-01
|
| Seri Bilgileri: | Sensors |
| Konular: | |
| Online Erişim: | https://www.mdpi.com/1424-8220/24/18/5952 |
| Etiketler: |
Etiket eklenmemiş, İlk siz ekleyin!
|