An industrial process monitoring method based on fusion of multi-scale sparse autoencoder and dual-branch slow feature architecture

•MSAE-DSFA merges multi-scale sparse AEs and dual slow feature for monitoring.•Tackles info redundancy, nonlinearity and slow faults in industrial processes.•Enhances fault detection and outperforms similar methods in two industrial cases.•Delivers solutions and support for process safety and optimi...

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Bibliographic Details

Published in:	Chemical engineering science Vol. 321; p. 122924
Main Authors:	Ling, Guobi, Wang, Zhiwen, Wang, Jieying, Shi, Yaoke, Li, Long, Zeng, Jingxiao
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.02.2026
Subjects:	Dual-branch slow feature structure Feature extraction Multi-scale sparse autoencoder Process monitoring Whitening operation Process monitoring Whitening operation Feature extraction Dual-branch slow feature structure Multi-scale sparse autoencoder
ISSN:	0009-2509
Online Access:	Get full text
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