Development of Interval Soft Sensors Using Enhanced Just-in-Time Learning and Inductive Confidence Predictor-Reference-Cited by-同舟云学术

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Development of Interval Soft Sensors Using Enhanced Just-in-Time Learning and Inductive Confidence Predictor

Published:2012-02-15 Issue:8 Volume:51 Page:3356-3367
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Liu Yiqi¹²,Huang Daoping¹,Li Yan¹

Affiliation:

1. College of Automation Science and Engineering, South China University of Technology, Guang Zhou, 510640, People's Republic of China

2. Advanced Water Management Centre, University of Queensland, Hawken Building L501, Level 5, St. Lucia Campus, Queensland, 4072, Australia

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie201053j

Reference34 articles.

1. Moving average PLS soft sensor for online product quality estimation in an industrial batch polymerization process

2. Analysis of designed experiments by stabilised PLS Regression and jack-knifing

3. Development of Self-Validating Soft Sensors Using Fast Moving Window Partial Least Squares

4. Using SOM and PCA for analysing and interpreting data from a P-removal SBR

5. Robustness of PARAFAC and N-PLS regression models in relation to homoscedastic and heteroscedastic noise

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2. A review of just‐in‐time learning‐based soft sensor in industrial process;The Canadian Journal of Chemical Engineering;2024-01-15

3. Modeling an Adaptive Hybrid Soft Sensor with Co-training Learning toward Applications in Wastewater Treatment;Industrial & Engineering Chemistry Research;2023-10-09

4. Just-in-time based soft sensors for process industries: A status report and recommendations;Journal of Process Control;2023-08

5. Prediction of dissolved oxygen concentration based on improved RBF;2023 4th International Conference on Computer Engineering and Application (ICCEA);2023-04-07

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