A review on deep learning in machining and tool monitoring: Methods, opportunities, and challenges

V Nasir, F Sassani - The International Journal of Advanced Manufacturing …, 2021 - Springer
Data-driven methods provided smart manufacturing with unprecedented opportunities to
facilitate the transition toward Industry 4.0–based production. Machine learning and deep …

Chatter detection methods in the machining processes: A review

WK Wang, M Wan, WH Zhang, Y Yang - Journal of Manufacturing …, 2022 - Elsevier
Chatter is a self-excited vibration phenomenon occurring in the cutting process, and the
onset of chatter will result in the worse machined surface and the redistribution of frequency …

Towards high milling accuracy of turbine blades: A review

B Yan, Y Hao, L Zhu, C Liu - Mechanical Systems and Signal Processing, 2022 - Elsevier
Turbine blades are widely used in aviation industries for its aero-dynamic performance.
However, as a kind of thin-walled parts with complex surfaces, to machine blades with high …

An unsupervised chatter detection method based on AE and merging GMM and K-means

B Liu, C Liu, Y Zhou, D Wang, Y Dun - Mechanical Systems and Signal …, 2023 - Elsevier
During metal cutting, chatter is prone to the effects of poor surface quality and tool wear.
Therefore, chatter detection is becoming more and more important. The current hot methods …

On-line chatter detection in milling using fast kurtogram and frequency band power

C Liu, X Gao, D Chi, Y He, M Liang, H Wang - European Journal of …, 2021 - Elsevier
The spectral kurtosis (SK) is a useful tool for locating the non-stationary component in the
single source signal. It has been verified by the mechanical fault diagnosis. The fast …

[HTML][HTML] Infrastructure monitoring and quality diagnosis in CNC machining: A review

M Ntemi, S Paraschos, A Karakostas… - CIRP Journal of …, 2022 - Elsevier
Infrastructure monitoring and rapid quality diagnosis comprise the key solutions to achieve
zero-defect smart manufacturing. The most fundamental systems in manufacturing industries …

Chatter detection in milling processes—a review on signal processing and condition classification

JH Navarro-Devia, Y Chen, DV Dao, H Li - The International Journal of …, 2023 - Springer
Among the diverse challenges in machining processes, chatter has a significant detrimental
effect on surface quality and tool life, and it is a major limitation factor in achieving higher …

A novel unsupervised directed hierarchical graph network with clustering representation for intelligent fault diagnosis of machines

B Zhao, X Zhang, Q Wu, Z Yang, Z Zhan - Mechanical Systems and Signal …, 2023 - Elsevier
Intelligent fault diagnosis technology, as a promising approach, is gradually playing an
irreplaceable role in ensuring the safety, reliability, and efficiency of mechanical equipment …

A tool wear condition monitoring method for non-specific sensing signals

Y Peng, Q Song, R Wang, X Yang, Z Liu… - International Journal of …, 2024 - Elsevier
Real-time and accurate monitoring of tool wear conditions is crucial to achieving double
optimization of production cost and product quality. However, the differences in the …

Online chatter detection considering beat effect based on Inception and LSTM neural networks

Y Sun, J He, H Ma, X Yang, Z **ong, X Zhu… - Mechanical Systems and …, 2023 - Elsevier
Chatter is an unstable and self-excited vibration that adversely affects part quality and tool
life in various machining processes. To achieve high-performance machining, chatter …