Wood Material Science & Engineering 05/2023

Supervised classification of wood species during milling based on extracted cut events from ultrasonic air-borne acoustic signals


Mehieddine Derbas, Stephan Frömel-Frybort, Christian Laaber, Hans-Christian Möhring, Martin Riegler

  • Monitoring during wood processing is gaining momentum in order to increase efficiency and enable adaptive manufacturing
  • Acoustic monitoring is particularly suited for the cutting/milling process
  • Derbas et al. developed a Machine Learning model to distinguish between wood species with up to 93% accuracy using single-cut events
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