Development of Robust and Physically Interpretable Soft Sensor for Industrial Distillation Column Using Transfer Learning with Small Datasets

Development of Robust and Physically Interpretable Soft Sensor for Industrial Distillation Column Using Transfer Learning with Small Datasets

In the development of soft sensors for industrial processes, the availability of data for data-driven modeling is usually limited, which led to overfitting and lack of interpretability when conventional deep learning models were used. In this study, the proposed soft sensor development methodology c...

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Bibliographic Details
Main Authors: Yu-Da Hsiao, Jia-Lin Kang, David Shan-Hill Wong
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Processes
Subjects:
artificial neural network
distillation column
small datasets
soft sensor
transfer learning
Online Access:https://www.mdpi.com/2227-9717/9/4/667

Internet

https://www.mdpi.com/2227-9717/9/4/667

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