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...

Celý popis

Podrobná bibliografie

Vydáno v:	Process safety and environmental protection Ročník 188; s. 53 - 63
Hlavní autoři:	Yin, Jiawei, Yan, Xuefeng
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.08.2024
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!