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1 Ergebnisse
1
CUAD-Mo: Continuos Unsupervised Anomaly Detection on Machin..:
, In:
2022 IEEE Conference on Control Technology and Applications (CCTA)
,
Lorenti, Luciano
;
De Rossi, Gaia
;
Annoni, Alberto
.. - p. 881-886 , 2022
Link:
https://doi.org/10.1109/CCTA49430.2022.9966138
RT T1 <cTitle>2022 IEEE Conference on Control Technology and Applications (CCTA)</cTitle>: T1 <Title>CUAD-Mo: Continuos Unsupervised Anomaly Detection on Machining Operations</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9966138&Exemplar=1&LAN=DE A1 Lorenti, Luciano A1 De Rossi, Gaia A1 Annoni, Alberto A1 Rigutto, Silvano A1 Susto, Gian Antonio YR 2022 SN 2768-0770 K1 Root cause analysis K1 Time series analysis K1 Pipelines K1 Production K1 Machining K1 Feature extraction K1 Real-time systems K1 Anomaly Detection K1 CNC machines K1 Explainable Artificial Intelligence K1 Interpretable Machine learning K1 Industry 4.0 K1 Unsupervised Learning SP 881 OP 886 LK http://dx.doi.org/https://doi.org/10.1109/CCTA49430.2022.9966138 DO https://doi.org/10.1109/CCTA49430.2022.9966138 SF ELIB - SuUB Bremen
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