AI-based condition monitoring of the drilling process

Author:

Brophy B,Kelly K,Byrne G

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Metals and Alloys,Computer Science Applications,Modeling and Simulation,Ceramics and Composites

Reference16 articles.

1. Tool condition monitoring (TCM)—the status of research and industrial application;Byrne;Ann. CIRP,1995

2. An intelligent sensor fusion system for tool monitoring on a machining centre;Kang-Ning;Int. J. Adv. Manuf. Technol.,1997

3. S.Y. Hong, J. Ni, S.M. Wu, Analysis of drill failure modes by multi-sensors on a robotic end effector, Japan/USA Symposium on Flexible Automation, Vol. 2, ASME, 1992, pp. 947–956.

4. Frequency and time domain analysis of sensor signals in drilling I & II;Noori-Khajavi;Int. J. Mach. Tools Manuf.,1995

5. Tool condition monitoring in drilling using vibration signature analysis;El-Wardany;Int. J. Mach. Tools Manuf.,1995

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