A defect detection method of gear end-face based on modified YOLO-V3-Reference-Cited by-同舟云学术

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A defect detection method of gear end-face based on modified YOLO-V3

Published:2020-10-10 Issue: Volume: Page:
ISSN:
Container-title:2020 10th Institute of Electrical and Electronics Engineers International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
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Author:

Su Yingtao,Yan Ping

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9278948/9279109/09279161.pdf?arnumber=9279161

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Defect Detection in the Forging Process of Wheel Nut Products through Object Detection;Journal of the Korean Society for Precision Engineering;2024-04-01

2. Flexible automation of quality inspection in parts assembly using CNN-based machine learning;Procedia Computer Science;2024

3. An Effective Dataset Preprocessing Method in Tilted Gear Defects Target Detection;Journal of Electrical and Computer Engineering;2024-01

4. Detection of small defects on gear surface based on improved YOLOv7;2023 38th Youth Academic Annual Conference of Chinese Association of Automation (YAC);2023-08-27

5. STMS-YOLOv5: A Lightweight Algorithm for Gear Surface Defect Detection;Sensors;2023-06-28

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