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Fault detection based on time series modeling and multivariate statistical process control

  • Published:2018-11 Issue: Volume:182 Page:57-69
  • ISSN:0169-7439
  • Container-title:Chemometrics and Intelligent Laboratory Systems
  • language:en
  • Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Sánchez-Fernández A.,Baldán F.J.ORCID,Sainz-Palmero G.I.ORCID,Benítez J.M.ORCID,Fuente M.J.ORCID

Funder

Spanish Ministry of Economy, Industry and Competitiveness

European Regional Development Fund (FEDER)

Junta de Andalucía

Publisher

Elsevier BV

Subject

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

Reference50 articles.

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

2. A review of process fault detection and diagnosis. Part I: quantitative model-based methods;Venkatasubramanian;Comput. Chem. Eng.,2003

3. A review of process fault detection and diagnosis. Part II: qualitative models and search strategies;Venkatasubramanian;Comput. Chem. Eng.,2003

4. A review of process fault detection and diagnosis. Part III: process history based methods;Venkatasubramanian;Comput. Chem. Eng.,2003

5. A new adaptive PCA based thresholding scheme for fault detection in complex systems;Bakdi;Chemometr. Intell. Lab. Syst.,2017

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