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Kernel dynamic latent variable model for process monitoring with application to hot strip mill process

  • Published:2017-12 Issue: Volume:171 Page:218-225
  • ISSN:0169-7439
  • Container-title:Chemometrics and Intelligent Laboratory Systems
  • language:en
  • Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Li Gang,Peng Kaixiang,Yuan Tao,Zhong Maiying

Funder

Natural Science Foundation of China

Publisher

Elsevier BV

Subject

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

Reference25 articles.

1. Data-driven control and process monitoring for industrial applications-part ii;Yin;Ind. Electron. IEEE Trans.,2014

2. Data-driven wind turbine power generation performance monitoring;Long;Ind. Electron. IEEE Trans.,2015

3. Hmm-driven robust probabilistic principal component analyzer for dynamic process fault classification;Zhu;Ind. Electron. IEEE Trans.,2015

4. A new soft-sensor-based process monitoring scheme incorporating infrequent kpi measurements;Shardt;Ind. Electron. IEEE Trans.,2015

5. Data-driven control and process monitoring for industrial applications-part i;Yin;Ind. Electron. IEEE Trans.,2014

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