Efficient Tool Wear Prediction in Manufacturing: BiLPReS Hybrid Model with Performer Encoder
Author:
Funder
Department of Science and Technology of Jilin Province
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13369-024-08943-5.pdf
Reference49 articles.
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5. Kuntoğlu, M.; Salur, E.; Gupta, M.K.; Sarıkaya, M.; Pimenov, D.Y.: A state-of-the-art review on sensors and signal processing systems in mechanical machining processes. Int. J. Adv. Manuf. Technol. 116, 2711–2735 (2021). https://doi.org/10.1007/s00170-021-07425-4
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