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Detecting Faults during Automatic Screwdriving: A Dataset and Use Case
  of Anomaly Detection for Automatic Screwdriving

Detecting Faults during Automatic Screwdriving: A Dataset and Use Case of Anomaly Detection for Automatic Screwdriving

5 July 2021
Błażej Leporowski
Daniella Tola
Casper Hansen
Alexandros Iosifidis
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Papers citing "Detecting Faults during Automatic Screwdriving: A Dataset and Use Case of Anomaly Detection for Automatic Screwdriving"

2 / 2 papers shown
Title
The voraus-AD Dataset for Anomaly Detection in Robot Applications
The voraus-AD Dataset for Anomaly Detection in Robot Applications
Jan Thiess Brockmann
Marco Rudolph
Bodo Rosenhahn
Bastian Wandt
8
11
0
08 Nov 2023
DeepTimeAnomalyViz: A Tool for Visualizing and Post-processing Deep
  Learning Anomaly Detection Results for Industrial Time-Series
DeepTimeAnomalyViz: A Tool for Visualizing and Post-processing Deep Learning Anomaly Detection Results for Industrial Time-Series
Błażej Leporowski
Casper Hansen
Alexandros Iosifidis
14
1
0
21 Sep 2021
1