A semi-supervised temporal modeling strategy integrating VAE and Wasserstein GAN under sparse sampling constraints

Time series network models are widely applied in process industries for soft sensing, fault monitoring, and real-time optimization, serving as a powerful tool to enhance the safety and efficiency of industrial production. Typically, time series networks require labeled data for supervised learning....

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Bibliographic Details

Published in:	Journal of process control Vol. 152; p. 103497
Main Authors:	Hu, Yujie, Xie, Changrui, Chen, Xi
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.08.2025
Subjects:	LSTM Semi-Supervised TCN Time series network VAE WGAN LSTM VAE Semi-Supervised WGAN Time series network TCN
ISSN:	0959-1524
Online Access:	Get full text
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