Study on tool wear state recognition algorithm based on spindle vibration signals collected by homemade tool condition monitoring ring

Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review

Danil Yurievich Pimenov, Andrés Bustillo, Szymon Wojciechowski et al. · Journal of Intelligent Manufacturing · 2022 · 315 citations

Artificial Intelligence, Engineering, Critical Review +12

Combining translation-invariant wavelet frames and convolutional neural network for intelligent tool wear state identification

Xincheng Cao, Binqiang Chen, Bin Yao et al. · Computers in Industry · 2019 · 195 citations

Condition Monitoring, Convolutional Neural Network, Machine Vision +12

Systematic review on tool breakage monitoring techniques in machining operations

Xuebing Li, Xianli Liu, Caixu Yue et al. · International Journal of Machine Tools and Manufacture · 2022 · 193 citations

Systematic Review, Engineering, Material Machining +6

Data-driven smart manufacturing: Tool wear monitoring with audio signals and machine learning

Zhixiong Li, Rui Liu, Dazhong Wu · Journal of Manufacturing Processes · 2019 · 192 citations

Audio Signals, Engineering, Machine Learning +12

Identification of tool wear using acoustic emission signal and machine learning methods

Paweł Twardowski, Maciej Tabaszewski, Martyna Wiciak-Pikuła et al. · Precision Engineering · 2021 · 144 citations · Full text

Engineering, Machine Learning, Mechanical Engineering +18