Analysis of High Frequency Data of a Machine Tool via Edge Computing

  • Stefan Trabesinger (Redner/in)
  • Andre Butzerin (Beitragende/r)
  • Daniel Schall (Beitragende/r)
  • Pichler, R. (Beitragende/r)

Aktivität: Vortrag oder Präsentation › Vortrag bei Konferenz oder Fachtagung › Science to science

Beschreibung

New technological capabilities of digitalization are enablers of processing a broad range of machine data. While so-called Low-Frequency Data (LFD) is captured at a sampling rate of several hundred milliseconds, High-Frequency Data (HFD) is based on a sampling rate in the single-digit millisecond range. In this paper, HFD is used to implement an edge-based analytics application for prediction purposes in a machine tool. This edge application leverages Siemens SINUMERIK Edge to capture HFD from a machine tool to recognize anomalies of any kind. The edge application is implemented as a show case in the Learning Factory of Graz University of Technology, the smartfactory@tugraz.
Zeitraum17 Apr. 2020
Ereignistitel10th Conference on Learning Factories: CLF 2020
VeranstaltungstypKonferenz
OrtVirtuell, ÖsterreichAuf Karte anzeigen
BekanntheitsgradInternational

Fields of Expertise

  • Mobility & Production

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