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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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Smithsonian figshare
Dataset . 2021
License: CC BY
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AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset

Authors: Leporowski, Błażej; Tola, Daniella; Hansen, Casper; Iosifidis, Alexandros;

AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset

Abstract

Dataset containing normal and anomalous operation measurments from UR-3e robot and OnRobot Screwdriver. The dataset contains 2045 samples in total. The robot was sampled with frequency of 100 Hz. | Type | Label | Samples | % | |--------------------------|-------|---------|-------| | Normal operation | 0 | 1420 | 69.44 | | Damaged screw | 1 | 221 | 10.81 | | Extra assembly component | 2 | 183 | 8.95 | | Missing screw | 3 | 218 | 10.65 | | Damaged thread samples | 4 | 3 | 0.15 | Additionally, there are 2049 supplementary samples describing the loosening/screw picking motion, labeled 5. The data is in continuous form with every event having its own label. Events are grouped in samples. For more detail please look into the technical report: https://arxiv.org/abs/2102.01409. The dataset has an accompanying Python library for easier data loading and manipulation: https://pypi.org/project/aursad/.

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Keywords

Machine Learning, Screwdriving application, Space Science, Science Policy, Universal Robot, Anomaly Detection, Robot simulation, Time-series, Biochemistry, Molecular Biology, Fault detection, Cancer, Biological Sciences not elsewhere classified

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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.
BIP!Popularity provided by BIP!
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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Science and Innovation Policy Studies