Biegel, T., Jourdan, N., Hernandez, C., Cviko, A., & Metternich, J. [ca. 2022]. Deep learning for multivariate statistical in-process control in discrete manufacturing: A case study in a sheet metal forming process [Electronic]. CIRP - The International Academy for Production Engineering. Procedia CIRP, (Band 107 (2022), Seite 422-427), , Seite 422-427. https://doi.org/10.1016/j.procir.2022.05.002

BIEGEL, Tobias, JOURDAN, Nicolas, HERNANDEZ, Carlos, CVIKO, Amir und METTERNICH, Joachim, 2022. Deep learning for multivariate statistical in-process control in discrete manufacturing: A case study in a sheet metal forming process. CIRP - The International Academy for Production Engineering. Procedia CIRP. 2022. No. Band 107 (2022), Seite 422-427, p. , Seite 422-427. DOI 10.1016/j.procir.2022.05.002.

Biegel, T., N. Jourdan, C. Hernandez, A. Cviko, und J. Metternich. „Deep learning for multivariate statistical in-process control in discrete manufacturing: A case study in a sheet metal forming process“. CIRP - The International Academy for Production Engineering. Procedia CIRP, electronic, Nr. Band 107 (2022), Seite 422-427, Elsevier Amsterdam [u.a.] : Elsevier, 2012-, 2022, S. , Seite 422-427, https://doi.org/10.1016/j.procir.2022.05.002.

Biegel, Tobias/Jourdan, Nicolas/Hernandez, Carlos/Cviko, Amir/Metternich, Joachim: Deep learning for multivariate statistical in-process control in discrete manufacturing: A case study in a sheet metal forming process, CIRP - The International Academy for Production Engineering. Procedia CIRP 2022, , Seite 422-427.

Biegel, T., Jourdan, N., Hernandez, C., Cviko, A. und Metternich, J. (2022), „Deep learning for multivariate statistical in-process control in discrete manufacturing: A case study in a sheet metal forming process“, CIRP - The International Academy for Production Engineering. Procedia CIRP, Elsevier Amsterdam [u.a.] : Elsevier, 2012-, Amsterdam, No. Band 107 (2022), Seite 422-427, S. , Seite 422-427.