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Memory-Enhanced and Prediction-Assisted Conditional Variational Autoencoder for Unsupervised Fault Detection in Industrial Processes.

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Title: Memory-Enhanced and Prediction-Assisted Conditional Variational Autoencoder for Unsupervised Fault Detection in Industrial Processes.
Authors: Wei, Lingli1, Wang, Xinyuan1, Liu, Hongbin1, hongbinliu@njfu.edu.cn
Source: Applied Sciences (2076-3417); Jun2026, Vol. 16 Issue 12, p5941, 25p
Database: Applied Science & Technology Source
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An: 194910149
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  Data: Memory-Enhanced and Prediction-Assisted Conditional Variational Autoencoder for Unsupervised Fault Detection in Industrial Processes.
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  Data: <searchLink fieldCode="AU" term="%22Wei%2C+Lingli%22">Wei, Lingli</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Wang%2C+Xinyuan%22">Wang, Xinyuan</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Liu%2C+Hongbin%22">Liu, Hongbin</searchLink><relatesTo>1</relatesTo>, <i>hongbinliu@njfu.edu.cn</i>
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        Value: 10.3390/app16125941
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      – Code: eng
        Text: English
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        StartPage: 5941
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      – TitleFull: Memory-Enhanced and Prediction-Assisted Conditional Variational Autoencoder for Unsupervised Fault Detection in Industrial Processes.
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            NameFull: Wei, Lingli
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            NameFull: Wang, Xinyuan
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              Text: Jun2026
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              Y: 2026
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