Soft Sensor Modeling Method Based on Semisupervised Deep Learning and Its Application to Wastewater Treatment Plant-Reference-Cited by-同舟云学术

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Soft Sensor Modeling Method Based on Semisupervised Deep Learning and Its Application to Wastewater Treatment Plant

Published:2020-02-07 Issue:10 Volume:59 Page:4589-4601
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Yan Weiwu¹²^ORCID,Xu Renchao¹,Wang Kundong³,Di Tang¹,Jiang Zhang¹

Affiliation:

1. Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China

2. Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai, 200240, China

3. Department of Instrument Science and Technology, Shanghai Jiao Tong University, Shanghai 200240, China

Funder

Ministry of Science and Technology of the People's Republic of China

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.9b05087

Reference41 articles.

1. Data-driven Soft Sensors in the process industry

2. Condition Monitoring in Advanced Battery Management Systems: Moving Horizon Estimation Using a Reduced Electrochemical Model

3. Adaptive soft sensor for online prediction and process monitoring based on a mixture of Gaussian process models

4. Soft sensing modeling based on support vector machine and Bayesian model selection

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