Wd-yolo: A more accurate yolo for defect detection in weld x-ray images
K Pan, H Hu, P Gu - Sensors, 2023 - mdpi.com
X-ray images are an important industrial non-destructive testing method. However, the
contrast of some weld seam images is low, and the shapes and sizes of defects vary greatly …
contrast of some weld seam images is low, and the shapes and sizes of defects vary greatly …
Analysis of Optimizer Effects on CNN Model for Defect Identification in Welding Results of A 106 Grade B Carbon Steel Pipe
MK Al Amin, MT Wahyudi, MA Yaqin… - 2023 International …, 2023 - ieeexplore.ieee.org
Welding is one of the sectors that play a crucial role in supporting the rapid development of
infrastructure. However, in the process, many defects occur that sometimes escape …
infrastructure. However, in the process, many defects occur that sometimes escape …
A Comparative Study of Different CNN Models using Transfer Learning for Weld Defect Classification in Radiographic Testing
S Harrouche, N Nacereddine… - 2023 International …, 2023 - ieeexplore.ieee.org
Classification of weld defects in radiographic images is a task of a major importance in
automatic Non-Destructive Testing of weld joints. This work aims at classifying weld defect …
automatic Non-Destructive Testing of weld joints. This work aims at classifying weld defect …
A multimodal deep learning method of weld defect detection based on 3D point cloud
K Lin, F Li, J Huang, C Shen, Y Zhang, X Hua - 2024 - researchsquare.com
Weld quality inspection is essential in modern manufacturing, requiring the automatic
identification, localization, and measurement of defects in industrial environments. Although …
identification, localization, and measurement of defects in industrial environments. Although …