Deep Learning for Data Modeling of Multirate Quality Variables in Industrial Processes

Recently, deep-learning (DL)-based soft sensor has been widely applied to industrial processes, which plays a vital role for process monitoring, control, and optimization. However, most existing soft sensor models are established for only one quality variable or multiple quality variables with the s...

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Vydané v:	IEEE transactions on instrumentation and measurement Ročník 70; s. 1 - 11
Hlavní autori:	Yuan, Xiaofeng, Feng, Lu, Wang, Kai, Wang, Yalin, Ye, Lingjian
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Belief networks Biological system modeling Boiling points Data models Deep learning Deep learning (DL) Hexadecane multirate sampling Oils Optimization Predictive models Process control quality variables Sensors soft sensor stacked autoencoder (SAE) Training Variables
ISSN:	0018-9456, 1557-9662
On-line prístup:	Získať plný text
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