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

Trabesinger, S. (Speaker), Andre Butzerin (Contributor), Daniel Schall (Contributor), Pichler, R. (Contributor)

Activity: Talk or presentationTalk at conference or symposiumScience to science

Description

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.
Period17 Apr 2020
Held at10th Conference on Learning Factories
Event typeConference
Locationvirtuell
Degree of RecognitionInternational

Keywords

  • Mobility & Production