Pattern Recognition in Wear Debris: Computer Vision for Tribological Forensics

Description

Expert lecture on automating wear debris analysis with computer vision and deep learning. Covers morphology, dataset curation, CNNs, segmentation, transfer learning, explainability, MLOps, and case studies in turbines and gearboxes. Emphasizes integration with reliability workflows, ROI, and drift management. Provides a practical blueprint and research outlook.