Soft Sensor Based on Fusion Modeling with the Balanced Spatio-temporal Feature Network

In recent years, multi－feature integrated method based on deep neutral network has been widely applied to soft sensor． However, existing methods rarely consider the independence between feature extracted so that same features can be affected or even submerged．In this paper, a stacked variational aut...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Chinese Control Conference S. 6851 - 6856
Hauptverfasser:	Tang, Xiaochu, Wang, Yiting, Tao, Na, Yu, Yang
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	Technical Committee on Control Theory, Chinese Association of Automation 28.07.2025
Schlagworte:	Accuracy Autoencoders BST-network Convolution convolution neural network Correlation Decoding Feature extraction Long short term memory long short-term memory network Neural networks soft sensor Soft sensors stacked variational autoencoder Time series analysis
ISSN:	1934-1768
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!