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Global-local based wavelet functional principal component analysis for fault detection and diagnosis in batch processes

  • Published:2021-05 Issue: Volume:212 Page:104279
  • ISSN:0169-7439
  • Container-title:Chemometrics and Intelligent Laboratory Systems
  • language:en
  • Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Liu Jingxiang,Wang Dan,Chen Junghui

Funder

Fundamental Research Funds for the Central Universities

Fundamental Research Funds for Central Universities of the Central South University

National Natural Science Foundation of China

Ministry of Science and Technology, Taiwan

Publisher

Elsevier BV

Subject

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

Reference44 articles.

1. Data-driven methods for batch data analysis - a critical overview and mapping on the complexity scale;Rendall;Comput. Chem. Eng.,2019

2. Incipient fault detection for multiphase batch processes with limited batches;Zhang;IEEE Trans. Control Syst. Technol.,2019

3. A survey on multistage/multiphase statistical modeling methods for batch process;Yao;Annu. Rev. Contr.,2009

4. Sequential local-based Gaussian mixture model for monitoring multiphase batch processes;Liu;Chem. Eng. Sci.,2018

5. Advances and opportunities in machine learning for process data analytics;Qin;Comput. Chem. Eng.,2019

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