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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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