Attention Mechanism Based CNC Milling Cutter Wear Detection Using Machine Vision-Reference-Cited by-同舟云学术

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Attention Mechanism Based CNC Milling Cutter Wear Detection Using Machine Vision

Published:2023-11-21 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 29th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)
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Author:

Hu Sheng¹,Wen Haiying²,Zhang Zhisheng¹,Sun Mengze¹,Zhang Hui¹,Xia Zhijie³,Dai Min¹

Affiliation:

1. School of Mechanical Engineering, Southeast University,Nanjing,China

2. School of Mechanical Engineering, Southeast University,Engineering Research Center of New Light Sources Technology and Equipment, Ministry of Education,Nanjing,China

3. JiangSu Nan Gao Intelligent Equipment Innovation Center,Nanjing,China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Southeast University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10413343/10413344/10413371.pdf?arnumber=10413371

Reference16 articles.

1. A novel approach to quantifying tool wear and tool life measurements for optimal tool management

2. Blur-robust image registration and stitching

3. Machine vision micro-milling tool wear inspection by image reconstruction and light reflectance

4. Detection and State Classification of Bolts Based on Faster R-CNN

5. Automated wear characterization for broaching tools based on machine vision systems

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