Modeling and identification for soft sensor systems based on the separation of multi-dynamic and static characteristics-Reference-Cited by-同舟云学术

Modeling and identification for soft sensor systems based on the separation of multi-dynamic and static characteristics

Published:2018-01 Issue:1 Volume:26 Page:137-143
ISSN:1004-9541
Container-title:Chinese Journal of Chemical Engineering
language:en
Short-container-title:Chinese Journal of Chemical Engineering

Author:

Cao Pengfei,Luo Xionglin,Song Xiaohong

Publisher

Elsevier BV

Subject

General Chemical Engineering,General Chemistry,Biochemistry,Environmental Engineering

Reference24 articles.

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

2. Development of correlation-based pattern recognition algorithm and adaptive soft-sensor design;Fujiwara;Control. Eng. Pract.,2012

3. Moving average PLS soft sensor for online product quality estimation in an industrial batch polymerization process;Facco;J. Process Control,2009

4. Novel Bayesian framework for dynamic soft sensor based on support vector machine with finite impulse response;Shang;IEEE Trans. Control Syst. Technol.,2014

5. Developing a soft sensor based on sparse partial least squares with variable selection;Liu;J. Process Control,2014

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