Roll Contact Fatigue Defect Recognition using Computer Vision and Deep Convolutional Neural Networks with Transfer Learning

Liu, Baoling; Brigham, John C; He, Jun; Yuan, Xiaocui; Hu, Huiling

doi:10.1088/2631-8695/ab4af0

All Outputs (2)

Computational Design Optimization of a Smart Material Shape Changing Building Skin Tile (2019)
Journal Article

The development and evaluation of a computational approach for optimal design of a smart material shape changing building skin is presented and numerically evaluated. Specifically, a unique shape-based approach is utilized to create an optimization a... Read More about Computational Design Optimization of a Smart Material Shape Changing Building Skin Tile.

Roll Contact Fatigue Defect Recognition using Computer Vision and Deep Convolutional Neural Networks with Transfer Learning (2019)
Journal Article

An end-to-end machine learning approach for classifying rolling contact fatigue (RCF) defects utilizing defect images is presented and evaluated. The core component of this approach is the use of a fine-tuned AlexNet architecture (FT-AlexNet), which... Read More about Roll Contact Fatigue Defect Recognition using Computer Vision and Deep Convolutional Neural Networks with Transfer Learning.