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• 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

• A DEEP LEARNING APPROACH TO ELECTRIC LOAD FORECASTING OF MACHINE TOOLS

  B. Dietrich, J. Walther, Y. Chen, M. Weigold

• MACHINE LEARNING BASED IDENTIFICATION OF ENERGY EFFICIENCY MEASURES FOR MACHINE TOOLS USING LOAD PROFILES AND MACHINE SPECIFIC META DATA

  L. Petruschke, G. Elserafi, B. Ioshchikhes, M. Weigold

• INFLUENCE OF CONTOUR RADIUS AND FIBER ORIENTATION ON HEAT ACCUMULATION DURING MACHINING OF UNIDIRECTIONAL CFRP

  J. Mehnen, W. Hintze, M. Koeppe

• MACHINE LEARNING BASED IDENTIFICATION AND PRIORITIZATION OF ELECTRICAL CONSUMERS FOR ENERGY MONITORING

  A. Stobert, B. Ioshchikhes, M. Weigold

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