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.Period | 17 Apr 2020 |
---|---|
Event title | 10th Conference on Learning Factories: CLF 2020 |
Event type | Conference |
Location | Virtuell, AustriaShow on map |
Degree of Recognition | International |
Fields of Expertise
- Mobility & Production
Documents & Links
- Analysis of High Frequency Data of a Machine Tool via Edge Computing
File: application/pdf, 658 KB
Type: Data set/Data file/Database
Related content
-
Activities
-
10th Conference on Learning Factories
Activity: Participation in or organisation of › Conference or symposium (Participation in/Organisation of)
-
Publications
-
Analysis of High Frequency Data of a Machine Tool via Edge Computing
Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review