A Double Self-Supervised Model for Pitting Detection on Ball Screws

A Double Self-Supervised Model for Pitting Detection on Ball Screws

Automatic detection of pitting on Ball Screw Drive (BSD) is essential to ensure normal production activities. However, the scarcity of defective samples and precisely labeled data poses a significant challenge. To address this, we propose an efficient double self-supervised model that operates at bo...

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Bibliographic Details
Main Authors: Xiaoming Wang, Yongxiong Wang, Zhiqun Pan, Guangpeng Wang, Junfan Chen
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
defect detection
deep learning
histogram of oriented gradients
self-supervised learning
Online Access:https://ieeexplore.ieee.org/document/10479204/

Internet

https://ieeexplore.ieee.org/document/10479204/

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