Maximizing Fault Detectability with Closed-Loop Control

Zhijie SUN, S. Joe QIN

Research output: Journal PublicationsJournal Article (refereed)peer-review


This paper addresses the fault detectability problem for PCA-based process monitoring methods under closed-loop control. Unlike previous research assuming the same process variation for both modeling and monitoring periods, the impact of controller on data variation is considered. The effective fault direction is given in order to describe the effect of process variation on fault detection index under different controllers. The minimum variance along the effective fault direction is developed by introducing the concept of block-lower-triangular interactor matrix and conditional minimum variance control. The sufficient condition for a fault to be detectable under any controllers is provided. The proposed method is demonstrated with the simulation examples.
Original languageEnglish
Pages (from-to)696-701
Number of pages6
Issue number18
Early online date8 Oct 2018
Publication statusPublished - 2018
Externally publishedYes


  • fault detectability
  • fault detection
  • minimum variance control
  • performance monitoring
  • time delay
  • time-series analysis


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