Auto-Switch Gaussian Process Regression-Based Probabilistic Soft Sensors for Industrial Multigrade Processes with Transitions-Reference-Cited by-同舟云学术

Auto-Switch Gaussian Process Regression-Based Probabilistic Soft Sensors for Industrial Multigrade Processes with Transitions

Published:2015-05-04 Issue:18 Volume:54 Page:5037-5047
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Liu Yi¹,Chen Tao²,Chen Junghui³

Affiliation:

1. Engineering Research Center of Process Equipment and Remanufacturing, Zhejiang University of Technology, Hangzhou, 310014, People’s Republic of China

2. Department of Chemical and Process Engineering, University of Surrey, Guildford GU2 7XH, United Kingdom

3. Department of Chemical Engineering, Chung-Yuan Christian University, Chung-Li, Taiwan 320, Republic of China

Funder

Ministry of Science and Technology, Taiwan

Jiangsu Key Laboratory of Process Enhancement and New Energy Equipment Technology, Nanjing University of Technology

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie504185j

Reference51 articles.

1. Data-driven Soft Sensors in the process industry

2. Review of adaptation mechanisms for data-driven soft sensors

3. The state of the art in chemical process control in Japan: Good practice and questionnaire survey

4. Statistical monitoring of multistage, multiphase batch processes

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