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Dataset . 2020
License: CC BY NC
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY NC
Data sources: ZENODO
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ZENODO
Dataset . 2020
License: CC BY NC
Data sources: Datacite
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Raw OPC-UA Dataset of a Working Industry 4.0 Smart Factory (H-DA AutFab)

Authors: Kaupp, Lukas; Humm, Bernhard G.; Nazemi, Kawa; Simons, Stephan; Webert, Heiko;

Raw OPC-UA Dataset of a Working Industry 4.0 Smart Factory (H-DA AutFab)

Abstract

This OPC-UA dataset was recorded in the AutFab, the fully automated Industry 4.0 learning factory of the University of Applied Sciences Darmstadt (Description of the AutFab, refer to: 10.1016/j.promfg.2017.04.023). Recording Date was the 2019-03-13. Five successful assemblies would be done during recording. The Dataset consists of 17.464 columns and 11.455 rows. Each column correspond to an OPC-UA node. The pre-transformation was limited to transpose the logformat: time, opcua-nodeid, value to time, opcua-nodeid 1, ..., opcua-nodeid N and align all events by time. A short analysis was carried out, which shows that only 1022 columns change more than once. This dataset contains no anomalies or errors. Usage must be requested.

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Keywords

smart factory, dataset, cyber-physical system

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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