High-frequency machine datasets captured via Edge Device from Spinner U5-630 milling machine

Muaaz Abdul Hadi*, Markus Brillinger, Stefan Trabesinger, Johannes Schmid

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


The high-frequency (HF) machine data is retrieved from the Spinner U5-630 milling machine via an Edge Device. Unlike cloud computing, an Edge Device refers to distributed data processing of devices in proximity that generate data, which can thereby be used for analysis [1,2]. This data has a sampling rate of 2ms and hence, a frequency of 500Hz. The HF machine data is from various experiments performed. There are 2 experiments performed (parts 1 and 2). The experimented part 1 has 12 .json data files and part 2 has 11 .json files. In total, there are 23 files of HF machine data from 23 experiments. The HF machine data has vast potential for analysis as it contains all the information from the machine during the machining process. One part of the information was used in our case to calculate the energy consumption of the machine. Similarly, the data can be used for retrieving information of torque, commanded and actual speed, NC code, current, etc.
Original languageEnglish
Article number107670
Number of pages5
JournalData in Brief
Issue numberC
Publication statusPublished - 3 Dec 2021


  • High-Frequency Data
  • Edge device
  • Energy-efficient machining
  • Peak power smoothing
  • sustainability
  • Peak reduction in NC machines
  • Sustainability
  • High-frequency data

ASJC Scopus subject areas

  • General

Fields of Expertise

  • Information, Communication & Computing
  • Mobility & Production


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