Abrasive, adhesive, and fatigue wear datasets for Artificial Neural Network training
Published: 10 August 2026| Version 1 | DOI: 10.17632/598ptz86sh.1
Contributors:
, Description
COMLGAN (Concurrent Optimization with Mutual Learning GAN) was trained using datasets of abrasive, adhesive, and fatigue wear. From the original SEM photos of friction/wear tests, all images exhibiting particular wear damages were manually chosen and cropped.
Files
Institutions
- Taizhou UniversityZhejiang, Taizhou
Categories
Delamination, Abrasive Wear, Adhesive Wear, Fatigue Crack, Deep Learning, Generative Adversarial Network