Convolutional Neural Networks for Raw Signal Classification in CNC Turning Process Monitoring
Emmanuel Stathatos,
Evangelos Tzimas,
Panorios Benardos
et al.
Abstract:This study addresses the need for advanced machine learning-based process monitoring in smart manufacturing. A methodology is developed for near-real-time part quality prediction based on process-related data obtained from a CNC turning center. Instead of the manual feature extraction methods typically employed in signal processing, a novel one-dimensional convolutional architecture allows the trained model to autonomously extract pertinent features directly from the raw signals. Several signal channels are ut… Show more
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