Addona, D. M. D., & Teti, R. (2013). Image data processing via neural networks for tool wear prediction. Procedia CIRP, 12, 252–257. https://doi.org/10.1016/j.procir.2013.09.044
DOI: https://doi.org/10.1016/j.procir.2013.09.044
Barreiro, J., Fernández-Abia, A. I., González-Laguna, A., & Pereira, O. (2017). TCM system in contour milling of very thick-very large steel plates based on vibration and AE signals. Journal of Materials Processing Technology, 246, 144–157. https://doi.org/10.1016/j.jmatprotec.2017.03.016
DOI: https://doi.org/10.1016/j.jmatprotec.2017.03.016
Jemielniak, K. (2002). Automatyczna diagnostyka stanu narzędzia i procesu skrawania. Warszawa: Oficyna Wydawnicza Politechniki Warszawskiej.
Jurko, J. (2007). Monitoring and Diagnosis of Drill Wear and the Thermodynamic Phenomenas of Material Removal by drilling of Stainless Steels. In: E.E. Gdoutos (Ed.) Experimental Analysis of Nano and Engineering Materials and Structures (vol. 37, 77–78). Dordrecht: Springer. https://doi.org/10.1007/978-1-4020-6239-1_37
DOI: https://doi.org/10.1007/978-1-4020-6239-1_37
Kious, M., Ouahabi, A., Boudraa, M., Serra, R., & Cheknane, A. (2010). Detection process approach of tool wear in high speed milling. Measurement, 43, 1439–1446. https://doi.org/10.1016/j.measurement.2010.08.014
DOI: https://doi.org/10.1016/j.measurement.2010.08.014
Kuljanic, E., & Sortino, M. (2005). TWEM a method based on cutting forces monitoring tool wear in face milling, Mach. Tools Manuf. J., 45, 29–34. https://doi.org/10.1016/j.ijmachtools.2004.06.016
DOI: https://doi.org/10.1016/j.ijmachtools.2004.06.016
Kuryjański, R. (2011). Obróbka skrawaniem i obrabiarki. Warszawa: Expol.
Nouri, M., Fussell, B. K., Ziniti, B. L., & Linder, E. (2015). Real-time tool wear monitoring in milling using a cutting condition independent method. International Journal of Machine Tools and Manufacture, 89, 1–13. https://doi.org/10.1016/j.ijmachtools.2014.10.011
DOI: https://doi.org/10.1016/j.ijmachtools.2014.10.011
Storch, B. (2001). Podstawy obróbki skrawaniem. Koszalin: Wydaw. Politechniki Koszalińskiej.
Więcek, D. (2013). Implementation of Artificial Intelligence in Estimating Prime Costs of Producing Machine Elements. Advances in Manufacturing Science and Technology, 37, 43–53. https://doi.org/10.2478/amst-2013-0004
DOI: https://doi.org/10.2478/amst-2013-0004
Wittbrodt, P. (2014). Nadzorowanie i prognozowanie stanu narzędzi skrawających w procesie skrawania. Innowacje w Zarządzaniu i Inżynierii Produkcji (cz. 1, 833–834). Zakopane: Oficyna Wydawnicza Polskiego Towarzystwa Zarządzania Produkcją.