Enhanced Anomaly Detection in Manufacturing Processes Through Hybrid Deep Learning Techniques

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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Bibliographic Details
Main Authors: Kyung Sung Lee, Seong Beom Kim, Hee-Woong Kim
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Anomaly detection
deep learning
predictive maintenance
smart factory
manufacturing process
Online Access:https://ieeexplore.ieee.org/document/10230081/

Internet

https://ieeexplore.ieee.org/document/10230081/

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