Innovative tool condition classification: utilizing time–frequency moments as inputs for BiLSTM networks in milling processes
Author:
Funder
Badan Riset dan Inovasi Nasional
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40430-024-05097-1.pdf
Reference42 articles.
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2. Sayyad S, Kumar S, Bongale A, Kamat P, Patil S, Kotecha K (2021) Data-driven remaining useful life estimation for milling process: sensors, algorithms, datasets, and future directions. IEEE Access 9:110255–110286. https://doi.org/10.1109/ACCESS.2021.3101284
3. Mohanraj T, Shankar S, Rajasekar R, Sakthivel NR, Pramanik A (2020) Tool condition monitoring techniques in milling process—a review. J Market Res 9(1):1032–1042. https://doi.org/10.1016/j.jmrt.2019.10.031
4. Cheng Y, Gai X, Guan R, Jin Y, Lu M, Ding Y (2023) Tool wear intelligent monitoring techniques in cutting: a review. J Mech Sci Technol. https://doi.org/10.1007/s12206-022-1229-9
5. Mohamed A, Hassan M, M’Saoubi R, Attia H (2022) Tool condition monitoring for high-performance machining systems—a review. Sensors 22(6):2206. https://doi.org/10.3390/s22062206
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