Intelligent Feature Engineering for Monitoring Tool Health in Machining
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-68271-1_2
Reference44 articles.
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3. Awasthi U, Wang Z, Mannan N, Pattipati KR, Bollas GM (2022) Physics-based modeling and information-theoretic sensor and settings selection for tool wear detection in precision machining. J Manuf Process 81:127–140. https://doi.org/10.1016/j.jmapro.2022.06.027
4. Bachman G, Narici L, Beckenstein E (2000) Fourier and wavelet analysis. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-0505-0
5. Brili N, Ficko M, Klančnik S (2021) Tool condition monitoring of the cutting capability of a turning tool based on thermography. Sensors 21(19):6687. https://doi.org/10.3390/s21196687
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