Application of Variational Autoencoder Network to Real-Time Prediction of Steel Crown in the Hot Strip Rolling Mill Process

In the hot strip rolling mill (HSRM) process, accurate prediction and control of the strip crown are critical for quality assurance. In order to cope with this challenge, this study designed a real-time prediction and update system of strip crown based on the cloud-edgeend collaboration framework. F...

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Bibliographic Details
Published in:	IEEE sensors journal Vol. 25; no. 22; pp. 42389 - 42399
Main Authors:	Zhang, Kai, Liu, Yundan, Wang, Yali, Zhang, Xiaowen
Format:	Journal Article
Language:	English
Published:	New York IEEE 15.11.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Accuracy Adaptation models Data models Distributed model Feature extraction Industrial applications Prediction algorithms Predictive models Production Production lines Quality assurance Quality control Real time real-time prediction Real-time systems Rolling mills Steel steel crown Strip Strips variational autoencoder (VAE)
ISSN:	1530-437X, 1558-1748
Online Access:	Get full text
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