Predictive Modeling With Multiresolution Pyramid VAE and Industrial Soft Sensor Applications

In industrial processes, the sampling rates of process variables are discrepant because of the nature of instruments and measuring demands, which forms the challenging issue, that is, the multirate modeling in the data-driven soft sensor development. In this work, a multiresolution pyramid variation...

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Veröffentlicht in:	IEEE transactions on cybernetics Jg. 53; H. 8; S. 4867 - 4879
Hauptverfasser:	Shen, Bingbing, Yao, Le, Ge, Zhiqiang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.08.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Data mining Data models Deep feature extraction Feature extraction feature pyramid augmentation Industrial applications Measuring instruments multirate data filter multiresolution pyramid variational autoencoder (MR-PVAE) Numerical models Numerical prediction Prediction models Predictive models Process variables Regression models Sampling soft sensor Soft sensors Spatial resolution
ISSN:	2168-2267, 2168-2275, 2168-2275
Online-Zugang:	Volltext
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