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Data-driven process monitoring approach for closed-loop cascade systems

  • Kuan Li
  • , Hao Luo
  • , Xianling Li
  • , Yunkai Wu
  • Harbin Institute of Technology
  • Science and Technology on Thermal Energy and Power Laboratory
  • Jiangsu University of Science and Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes a data-driven process monitoring approach for closed-loop cascade systems. Each subsystem is operated under the feedback control in the cascade connection. For each subsystem, the external input is proved to be represented by the linear combination of inputs and outputs from its upstream subsystems. In addition, a data-driven residual generator is proposed via the LQ decomposition for process monitoring and takes into account the feedback controller. Furthermore, the fault detection strategy is developed in the context of probability. The proposed methods are illustrated and verified on a cascade system consisting of five discrete-time LTI subsystems.

Original languageEnglish
Title of host publicationProceedings - 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages473-478
Number of pages6
ISBN (Electronic)9781728162072
DOIs
StatePublished - 10 May 2021
Event4th IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2021 - Virtual, Online
Duration: 10 May 202113 May 2021

Publication series

NameProceedings - 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2021

Conference

Conference4th IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2021
CityVirtual, Online
Period10/05/2113/05/21

Keywords

  • Cascade system
  • Closed-loop
  • Data-driven
  • Process monitoring
  • Residual generator

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