A mutual information-based Variational Autoencoder for robust JIT soft sensing with abnormal observations

Author:

Guo Fan,Huang Biao

Funder

Gaussian

Natural Science and Engineering Research Council of Canada (NSERC

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference48 articles.

1. Data-driven soft sensors in the process industry;Kadlec;Comput. Chem. Eng.,2009

2. Design of inferential sensors in the process industry: a review of Bayesian methods;Khatibisepehr;J. Process Contr.,2013

3. Soft Sensors for Monitoring and Control of Industrial Processes;Fortuna,2007

4. Hierarchical quality-relevant feature representation for soft sensor modeling: a novel deep learning strategy;Yuan;IEEE Trans. Industr. Inform.,2020

5. A layer-wise data augmentation strategy for deep learning networks and its soft sensor application in an industrial hydrocracking process;Yuan;IEEE Transactions on Neural Networks and Learning Systems,2019

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