A multi-scale low rank convolutional autoencoder for process monitoring of nonlinear uncertain systems

In modern industrial process monitoring, due to equipment performance degradation and equipment working environment, process variable measurement can lead to uncertainty in measurement data. Traditional process monitoring methods based on uncertain data typically assume that variables have the same...

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Vydané v:	Process safety and environmental protection Ročník 188; s. 53 - 63
Hlavní autori:	Yin, Jiawei, Yan, Xuefeng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.08.2024
Predmet:	1D convolutional neural network Low rank Multi scale Process monitoring Uncertainty process Process monitoring Uncertainty process 1D convolutional neural network Low rank Multi scale
ISSN:	0957-5820, 1744-3598
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