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INDIRECT DRILL CONDITION MONITORING BASED ON MACHINE TOOL CONTROL SYSTEM DATA
PETR KOLAR, DAVID BURIAN, PETR FOJTU, PETR MASEK, STEPAN FIALA, STEPAN CHLADEK, PETR PETRACEK, JIRI SVEDA, MICHAL RYTIR
TOOL CONDITION MONITORING AND TOOL DEFECT DETECTION FOR END MILLS BASED ON HIGH-FREQUENCY MACHINE TOOL DATA
Alexander Fertig, Lukas Grau, Marius Altmannsberger, Matthias Weigold
DEMONSTRATION OF A NEW APPROACH FOR MEASURING TOOLS WITH THE IMPINGEMENT SOUND OF AN AIR JET USING MACHINE LEARNING
H. Wuerschinger, D. Gross, M. Muehlbauer, M. Stadler, N. Hanenkamp
ESTIMATION OF ENGAGEMENT CONDITIONS USING AN ANN PATTERN RECOGNITION SYSTEM ON THE BASE OF A SENSORY TOOL HOLDER
T. Bergs, D. Scharknepper, S. Goetz
UTILIZATION OF MACHINE LEARNING APPROACHES FOR TOOL WEAR DETECTION AND PREDICTION IN THE CIRCULAR SAWING PROCESS OF METALLIC MATERIALS
P. Georgi, S. Eschelbacher, H.-C. Moehring

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