Process monitoring of nonlinear uncertain systems based on Part Interval Stacked Autoencoder and Support Vector Data Description

Chemical process measurement may cause inaccuracy and uncertainty in some parts of the measurement data due to equipment aging and environmental conditions, such as temperature, humidity, gas pressure, gas flow, and other related factors. Uncertain data of this kind commonly fluctuate in an interval...

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Veröffentlicht in:	Applied soft computing Jg. 129; S. 109570
Hauptverfasser:	Wu, Qiqi, Lu, Weipeng, Yan, Xuefeng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.11.2022
Schlagworte:	Industrial wastewater treatment plant Process monitoring Stacked autoencoder Support Vector Data Description Tennessee Eastman process Support Vector Data Description Process monitoring Stacked autoencoder Industrial wastewater treatment plant Tennessee Eastman process
ISSN:	1568-4946, 1872-9681
Online-Zugang:	Volltext
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