An Improved Method for Detecting Crane Wheel–Rail Faults Based on YOLOv8 and the Swin Transformer
In the realm of special equipment, significant advancements have been achieved in fault detection. Nonetheless, faults originating in the equipment manifest with diverse morphological characteristics and varying scales. Certain faults necessitate the extrapolation from global information owing to th...
Guardat en:
| Autors principals: | , , , , |
|---|---|
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2024-06-01
|
| Col·lecció: | Sensors |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/1424-8220/24/13/4086 |
| Etiquetes: |
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|