Detection of surface defects on conveyor belts based on adversarial repair networks
In response to the challenges of acquiring and labeling defect data on conveyor belts, as well as the low accuracy of deep learning-based conveyor belt defect detection methods due to unstable factors and data fluctuations in working environments, this study proposed a surface defect detection model...
Saved in:
| Main Authors: | YANG Zelin, YANG Liqing, HAO Bin |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Industry and Mine Automation
2024-09-01
|
| Series: | Gong-kuang zidonghua |
| Subjects: | |
| Online Access: | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2024030002 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Longitudinal Vibration and Stability Analysis of Conveying Belt of Belt Conveyor
by: Man Zhang, et al.
Published: (2020-08-01) -
Research of Variation Characteristic of Conveyor Belt of Vehicle Group Chain Conveyor based on Elastic Catenary Theory
by: Yaocheng Zhang, et al.
Published: (2020-08-01) -
Intelligent monitoring method for conveyor belt misalignment based on deep learning
by: ZUO Mingming, et al.
Published: (2024-12-01) -
Belt conveyor tunnel support structure
by: Živanović Miloš, et al.
Published: (2024-01-01) -
INFLUENCE CONSTRUCTION OF THE ROLLER ON THE POWER OF THE DRIVE SYSTEM OF THE BELT CONVEYOR
by: Tadeusz OPASIAK, et al.
Published: (2014-09-01)