Surface Defect Detection of Bearing Rings Based on an Improved YOLOv5 Network

Surface Defect Detection of Bearing Rings Based on an Improved YOLOv5 Network

Considering the characteristics of complex texture backgrounds, uneven brightness, varying defect sizes, and multiple defect types of the bearing surface images, a surface defect detection method for bearing rings is proposed based on improved YOLOv5. First, replacing the C3 module in the backbone n...

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Bibliographic Details
Main Authors: Haitao Xu, Haipeng Pan, Junfeng Li
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Sensors
Subjects:
bearing ring
surface defect detection
deep learning
YOLOv5
Online Access:https://www.mdpi.com/1424-8220/23/17/7443

Internet

https://www.mdpi.com/1424-8220/23/17/7443

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