Marker-free identification of turned, ground and deep rolled workpieces using wavelet transformation

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Breidenstein, B.; Wichmann, M.; Voelker, H.: Marker-free identification of turned, ground and deep rolled workpieces using wavelet transformation. In: Procedia CIRP 118 (2023), S. 1120-1125. DOI: https://doi.org/10.1016/j.procir.2023.06.192

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/16118

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Abstract: 
This paper presents a marker-free component identification of cylindrical workpieces produced by the manufacturing processes turning, grinding and deep rolling. The position of unique features from a 2-D profile in the 3-D frequency is detected for identification. Therefore, this work presents an approach using an industrial camera for surface measuring to clearly identify individual cylindrical components. In addition, wear tests are carried out to investigate the method's robustness. The results after the wear tests indicate a false positive rate of 10-20
License of this version: CC BY-NC-ND 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2023
Appears in Collections:Fakultät für Maschinenbau

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1 image of flag of Germany Germany 7 63.64%
2 image of flag of United States United States 3 27.27%
3 image of flag of United Kingdom United Kingdom 1 9.09%

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