Initial study on the use of support vector machine (SVM) in tool condition monitoring in chipboard drilling

Author:

Jegorowa AlbinaORCID,Górski Jarosław,Kurek Jarosław,Kruk Michał

Publisher

Springer Science and Business Media LLC

Subject

General Materials Science,Forestry

Reference6 articles.

1. Bergweiler S (2016) Smart factory systems—fostering cloud-based manufacturing based on self-monitoring cyber-physical systems. Int J Adv Syst Meas 9(1, 2):91–101

2. Górski J, Szymanowski K, Podziewski P, Śmietańska K, Czarniak P, Cyrankowski M (2019) Use of cutting force and vibro-acoustic signals in tool wear monitoring based on multiple regression technique for compreg milling. Bio Res 14(2):3379–3388

3. Lemaster RL, Lu L, Jackson S (2000) The use of process monitoring techniques on a CNC wood router. Part 1 Sensor selection. For Prod J 50(7/8):31–38

4. Scholkopf B, Smola A (2002) Learning with kernels. MIT Press, Cambridge

5. Szwajka K, Górski J (2006) Evaluation tool condition of milling wood on the basis of vibration signal. J Phys 48(2006):1205–1209

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