Maximizing Fault Detectability with Closed-Loop Control

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

View graph of relations

Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)696-701
Journal / PublicationIFAC-PapersOnLine
Volume51
Issue number18
Online published8 Oct 2018
Publication statusPublished - 2018
Externally publishedYes

Abstract

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.

Research Area(s)

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