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XES Chess Pieces Production

Authors: Mangler, Juergen; Ehrendorfer, Matthias;

XES Chess Pieces Production

Abstract

Two Rooks (2022-12-09): Lathe Machining (Aluminium), Robotic Handling, Close To Production Measurement This dataset has been created by researchers from the Technical University of Munich, Chair for Information Systems and Business Process Management (i17), Boltzmannstraße 3, 85748 Garching b. München. The dataset has been created through https://cpee.org. The data set contains raw data and refined and aggregated data in the XES SensorStream format https://arxiv.org/abs/2206.11392. The dataset contains data from the following sources: EMCO MT45 Lathe: standard internal sensors + additional custom power measurement (better quality than internal sensors). All data collected from this service can, to the best of our knowledge, be freely distributed and used for all purposes (e.g., analysis). Keyence LS-7000 High-speed, High-accuracy Optical Digital Micrometer: the part is moved through the measurement beam. On data collection we restricted the accuracy to 0.01 mm. ABB IRB-2600 Industrial Robot: movement coordinates and pneumatic valve states (gripper) are collected. The data is collected for two manufactured parts: the first part is good, the second part is wrapped in chips from the turning process (see picture).

Keywords

Manufacturing, Measurement, Process Mining, Process Log, XES, Lathe, Timeseries Data

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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).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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