Options
Klassifizierung von Prozesszuständen beim Bohren
Other Titles
Process state classification in drilling processes
Publikationstyp
Journal Article
Date Issued
2023-05-16
Sprache
German
Author(s)
Volume
118
Issue
5
Start Page
302
End Page
306
Citation
ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb 118 (5): 302-306 (2023)
Publisher DOI
Scopus ID
Publisher
De Gruyter
Peer Reviewed
true
About one third of rivet holes in aircraft assembly are manufactured using semi-automatic drilling units. These machines can be equipped with internal sensors for measuring process data. In this work, reliable and efficient methods for process state prediction based on internal measurement data using machine learning classification methods are identified for use in aerospace applications. The methods can be used to implement process monitoring, discover anomalies and ensure work piece integrity.
Subjects
Aircraft Assembly
Autoencoder
Drilling
Machine Learning
Process Monitoring
MLE@TUHH
DDC Class
004: Informatik
600: Technik
620: Ingenieurwissenschaften