Systematic Review of Artificial Intelligence, Machine Learning, and Deep Learning in Machining Operations: Advancements, Challenges, and Future Directions

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

Harmonizing physical and deep learning modeling: A computationally efficient and interpretable approach for property prediction

Da Ren, Chenchong Wang, Xiaolu Wei et al. · Scripta Materialia · 2024 · 204 citations

Computing, Computer Science, Physics +15

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

Zhixiong Li, Rui Liu, Dazhong Wu · Journal of Manufacturing Processes · 2019 · 203 citations

Engineering, Industrial Engineering, Manufacturing Engineering +16

Dual-microphone active noise cancellation paved with Doppler assimilation for TADS

Fang Liu, Xinhang Zhao, Zihao Zhu et al. · Mechanical Systems and Signal Processing · 2022 · 131 citations

Natural Sciences, Physics, Acoustics +11

A generic energy prediction model of machine tools using deep learning algorithms

Yan He, Pengcheng Wu, Yufeng Li et al. · Applied Energy · 2020 · 125 citations

Computing, Computer Science, Mechanical Engineering +10