[HTML][HTML] Tool condition monitoring for high-performance machining systems—A review

A Mohamed, M Hassan, R M'Saoubi, H Attia - Sensors, 2022 - mdpi.com
In the era of the “Industry 4.0” revolution, self-adjusting and unmanned machining systems
have gained considerable interest in high-value manufacturing industries to cope with the …

Machine learning and IoT-based approach for tool condition monitoring: A review and future prospects

MQ Tran, HP Doan, VQ Vu, LT Vu - Measurement, 2023 - Elsevier
Abstract In the “Industry 4.0” era, autonomous and self-adaptive industrial machining attracts
significant attention in professional manufacturing. This trend originates from the rising …

[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 …

[HTML][HTML] 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 …

Machine vision for the measurement of machining parameters: A review

AW Hashmi, HS Mali, A Meena, IA Khilji… - Materials Today …, 2022 - Elsevier
Machining parameters have significant value in manufacturing and machining industries as
they result in quality and dimensional accuracy of the product. The machining parameters …

Machine Vision—Moving from Industry 4.0 to Industry 5.0

M Tzampazaki, C Zografos, E Vrochidou… - Applied Sciences, 2024 - mdpi.com
The Fourth Industrial Revolution combined with the advent of artificial intelligence brought
significant changes to humans' daily lives. Extended research in the field has aided in both …

Smart data collection system for brownfield CNC milling machines: A new benchmark dataset for data-driven machine monitoring

MA Tnani, M Feil, K Diepold - Procedia CIRP, 2022 - Elsevier
Manufacturing processes have undergone tremendous technological progress in recent
decades. To meet the agile philosophy in industry, data-driven algorithms need to handle …

[HTML][HTML] Tool life prognostics in CNC turning of AISI 4140 steel using neural network based on computer vision

PJ Bagga, MA Makhesana, PP Darji, KM Patel… - … International Journal of …, 2022 - Springer
One of the essential requirements for intelligent manufacturing is the low cost and reliable
predictions of the tool life during machining. It is crucial to monitor the condition of the cutting …

Integrating advanced measurement and signal processing for reliability decision-making

E Kozłowski, K Antosz, D Mazurkiewicz… - Eksploatacja i …, 2021 - yadda.icm.edu.pl
Innovative technological machines are constructed as advanced mechatronic systems
facing extremely high demands with respect to their performance, reliability and product …

Dimension reduction and 2D-visualization for early change of state detection in a machining process with a variational autoencoder approach

A Proteau, R Zemouri, A Tahan, M Thomas - The International Journal of …, 2020 - Springer
In this paper, we applied a variational autoencoder approach to an industrial machining
problematic. We proposed a model based on a two-steps training process and a two …