Adaptive Temporal–Spatial Pyramid Variational Autoencoder Model for Multirate Dynamic Chemical Process Soft Sensing Application
Data-driven soft sensors play an important role in practical processes and have been widely applied. They provide real-time prediction of quality variables and then guide production and improve product quality. In practical chemical production processes, nonlinear dynamic multirate data is widesprea...
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| Published in: | ACS omega Vol. 9; no. 21; pp. 23021 - 23032 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
United States
American Chemical Society
28.05.2024
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| ISSN: | 2470-1343, 2470-1343 |
| Online Access: | Get full text |
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