Key performance index estimation based on ensemble locally weighted partial least squares and its application on industrial nonlinear processes-Reference-Cited by-同舟云学术

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Key performance index estimation based on ensemble locally weighted partial least squares and its application on industrial nonlinear processes

Published:2020-08 Issue: Volume:203 Page:104031
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Chen Xin,Zhong Weimin,Jiang Chao,Li Zhi,Peng Xin,Cheng Hui

Funder

National Natural Science Foundation of China

Discipline to Universities

Shanghai Sailing Programme

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

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

Reference37 articles.

1. Review on data-driven modeling and monitoring for plant-wide industrial processes;Ge;Chemometr. Intell. Lab. Syst.,2017

2. Statistical monitoring for non-Gaussian processes based on MICA-KDR method;Lan;ISA Trans.,2019

3. Adaptive just-in-time and relevant vector machine based soft-sensors with adaptive differential evolution algorithms for parameter optimization;Liu;Chem. Eng. Sci.,2017

4. Sparse robust principal component analysis with applications to fault detection and diagnosis;Luo;Ind. Eng. Chem. Res.,2019

5. Improvements to the T-2 statistic for multivariate fault detection;Luo;Ind. Eng. Chem. Res.,2019

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