A novel CNN ensemble framework for bearing surface defects classification based on transfer learning

J Ma, M Liu, S Hu, J Fu, G Chen… - … Science and Technology, 2022 - iopscience.iop.org
Bearing surface defect detection and classification methods based on machine vision have
been widely used in bearing quality inspection due to their high-speed, high-precision, and …

A novel CNN ensemble framework for bearing surface defects classification based on transfer learning

J Ma, M Liu, S Hu, J Fu, G Chen… - Measurement Science …, 2023 - ui.adsabs.harvard.edu
Bearing surface defect detection and classification methods based on machine vision have
been widely used in bearing quality inspection due to their high-speed, high-precision, and …

[PDF][PDF] A novel CNN ensemble framework for bearing surface defects classification based on transfer learning

J Ma, M Liu, S Hu, J Fu, G Chen, A Yang - Meas. Sci. Technol, 2023 - researchgate.net
Bearing surface defect detection and classification methods based on machine vision have
been widely used in bearing quality inspection due to their high-speed, high-precision, and …

A novel CNN ensemble framework for bearing surface defects classification based on transfer learning

J Ma, M Liu, S Hu, J Fu, G Chen, A Yang - Measurement Science and …, 2022 - cir.nii.ac.jp
抄録< jats: title> Abstract</jats: title>< jats: p> Bearing surface defect detection and
classification methods based on machine vision have been widely used in bearing quality …