Enhanced Anomaly Detection in Manufacturing Processes through Hybrid Deep Learning Techniques

Smart factory systems have been introduced to prevent the decline in overall equipment effectiveness caused by the presence of defects within factory manufacturing equipment. In this context, it is crucial to predict process downtime using manufacturing equipment data and take preemptive actions. Ho...

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Veröffentlicht in:IEEE access 2023-01, Vol.11, p.1-1
Hauptverfasser: Lee, Kyung Sung, Kim, Seong Beom, Kim, Hee-Woong
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Sprache:eng
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