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Robust adaptive boosted canonical correlation analysis for quality-relevant process monitoring of wastewater treatment

  • Published:2021-11 Issue: Volume:117 Page:210-220
  • ISSN:0019-0578
  • Container-title:ISA Transactions
  • language:en
  • Short-container-title:ISA Transactions

Author:

Cheng Hongchao,Wu Jing,Huang Daoping,Liu Yiqi,Wang Qilin

Funder

Australian Research Council

National Natural Science Foundation of China

Guangzhou Science and Technology Program key projects

Publisher

Elsevier BV

Subject

Applied Mathematics,Control and Systems Engineering,Electrical and Electronic Engineering,Computer Science Applications,Instrumentation

Reference33 articles.

1. ICA and me–a subjective review;Olsson;Water Res,2012

2. Learning soft sensors using time difference–based multi-kernel relevance vector machine with applications for quality-relevant monitoring in wastewater treatment;Wu;Environ Sci Pollut Res,2020

3. Quality-relevant fault detection of nonlinear processes based on kernel concurrent canonical correlation analysis;Zhu,2017

4. Plant-wide process monitoring based on mutual information–multiblock principal component analysis;Qingchao;Isa Trans,2014

5. Review of recent research on data-based process monitoring;Ge;Ind Eng Chem Res,2013
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