Tool monitoring of end milling based on gap sensor and machine learning
Author:
Funder
Ministry of Trade, Industry and Energy
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-020-02875-2.pdf
Reference38 articles.
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3. Bahr B, Motavalli S, Arfi T (1997) Sensor fusion for monitoring machine tool conditions. Int J Comput Integr Manuf 10(5):314–323. https://doi.org/10.1080/095119297131066
4. Cartas-Rosado R, Becerra-Luna B, Martínez-Memijea R et al (2020) Continuous wavelet transform based processing for estimating the power spectrum content of heart rate variability during hemodiafiltration. Biomed Signal Process Control 62:102031
5. Cho S, Asfour S, Onar A, Kaundinya N (2005) Tool breakage detection using support vector machine learning in a milling process. Int J Mach Tools Manuf 45:241–249
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