Maximilian Bundscherer, Thomas H. Schmitt, Sebastian P. Bayerl, Thomas Auerbach, Tobias Bocklet. An Acoustical Machine Learning Approach to Determine Abrasive Belt Wear of Wide Belt Sanders. In 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022. pages 1-4, IEEE, 2022. [doi]
@inproceedings{BundschererSBAB22,
title = {An Acoustical Machine Learning Approach to Determine Abrasive Belt Wear of Wide Belt Sanders},
author = {Maximilian Bundscherer and Thomas H. Schmitt and Sebastian P. Bayerl and Thomas Auerbach and Tobias Bocklet},
year = {2022},
doi = {10.1109/SENSORS52175.2022.9967324},
url = {https://doi.org/10.1109/SENSORS52175.2022.9967324},
researchr = {https://researchr.org/publication/BundschererSBAB22},
cites = {0},
citedby = {0},
pages = {1-4},
booktitle = {2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022},
publisher = {IEEE},
isbn = {978-1-6654-8464-0},
}