wbk Institut für Produktionstechnik
 wbk

Alexander Puchta, M.Sc.

  • 76131 Karlsruhe
    Kaiserstraße 12

Alexander Puchta, M.Sc.

Forschungs- und Arbeitsgebiete:

  • Themenbereich Industrie 4.0
  • Automatisierung der spanenden Fertigung

 

Lebenslauf:

seit 07/2020

Wissenschaftlicher Mitarbeiter am Institut für Produktionstechnik (wbk) des Karlsruher Instituts für Technologie (KIT) 

Veröffentlichungen

[ 1 ] Gönnheimer, P.; Puchta, A. & Fleischer, J. (2020), „Automated Identifcation of Parameters in Control Systems of Machine Tools“. Production at the leading edge of technology, Hrsg. Behrens, B.; Brosius, A.; Hintze, W.; Ihlenfeldt, S. & Wulfsberg, J. P., Springer, Berlin, Heidelberg, S. 568-577.
Abstract
Especially in the context of Artifcial Intelligence (AI) applications and increasing Overall Equipment Effectiveness (OEE) requirements, the use of data in production is gaining in importance. Applications in the feld of process or condition monitoring use, for example, machine component parameters such as motor currents, travel speeds and position information. However, as the data is usually only accessible in the machine control systems in non-standard structures and semantics, while having a large number of potential variables, the identifcation and use of these parameters and data sources represents a signifcant challenge. This paper therefore presents an approach to automatically identify and assign machine parameters on the basis of time series data. For the identifcation, feature- and deep learning-based classifcation approaches are used and compared. Classifcation results show a general usability of the approaches for the identifcation of machine parameters.