A damage detection system for inner bore of electromagnetic railgun launcher based on deep learning and computer vision
Published in Expert Systems with Applications 2022, 2022
Recommended citation: Yu Zhou, Ronggang Cao, Ping Li, Xiao Ma, Xueyi Hu, Fadong Li. (2022). "A damage detection system for inner bore of electromagnetic railgun launcher based on deep learning and computer vision." Expert Systems with Applications. https://www.sciencedirect.com/science/article/abs/pii/S0957417422007059
This paper presents an automated damage detection system for electromagnetic railgun launchers using advanced deep learning and computer vision techniques.
Abstract
Electromagnetic railgun launchers require careful monitoring for internal damage. Our system combines deep learning with computer vision to provide automated, accurate damage detection.
Links
Recommended citation: Yu Zhou, Ronggang Cao, Ping Li, Xiao Ma, Xueyi Hu, Fadong Li. (2022). “A damage detection system for inner bore of electromagnetic railgun launcher based on deep learning and computer vision.” Expert Systems with Applications 2022.