A new embedded vision system for monitoring tool conditions in production lines using a combination of direct and indirect methods

Deep learning and its applications to machine health monitoring

Rui Zhao, Ruqiang Yan, Zhenghua Chen et al. · Mechanical Systems and Signal Processing · 2018 · 2.6K citations

Computing, Computer Science, Data Science +14

State of the Art in Defect Detection Based on Machine Vision

Zhonghe Ren, Fengzhou Fang, Ning Yan et al. · International Journal of Precision Engineering and Manufacturing-Green Technology · 2021 · 739 citations · Full text

Computing, Computer Science, Industrial Engineering +17

A Comparative Study on Machine Learning Algorithms for Smart Manufacturing: Tool Wear Prediction Using Random Forests

Dazhong Wu, Connor Jennings, Janis Terpenny et al. · Journal of Manufacturing Science and Engineering · 2017 · 662 citations · Full text

Engineering, Industrial Engineering, Manufacturing Engineering +17

Review of tool condition monitoring in machining and opportunities for deep learning

Gökberk Serin, Batıhan Şener, Ahmet Murat Özbayoğlu et al. · The International Journal of Advanced Manufacturing Technology · 2020 · 350 citations

Engineering, Computer Science, Manufacturing Engineering +14

Tool wear classification using time series imaging and deep learning

Giovanna Martínez-Arellano, Germán Terrazas, Svetan Ratchev · The International Journal of Advanced Manufacturing Technology · 2019 · 224 citations · Full text

Computing, Computer Science, Manufacturing Engineering +17