ExtrudEAR – Mapping auditory perception and human expert knowledge to extruder process control

© Adobe Stock/Konstantin Shishkin

Description and project goals


The aim of the project is to map the auditory perception of experienced machine operators and thereby realize automated, bio-inspired process monitoring during extrusion. The corresponding feasibility study will be carried out using a starch extrusion process as an example on a pilot plant scale.

For this purpose, sensors are attached to the extruder, which acquire acoustic signals during the running extrusion process. Machine Learning (ML) and Artificial Intelligence (AI) will be applied under different aspects.

Responsibilities of Fraunhofer IDMT

  • Installation of acoustic sensor technology and audio recordings of the extrusion process
  • Use of machine learning methods for data analysis and evaluation (proof-of-concept)


  • Fraunhofer-Institut für Verfahrenstechnik und Verpackung IVV


  • Federal Ministry of Education and Research BMBF


July 2022 – June 2023

Industrial Sound Analysis – Research and Practice