Fault reconstruction in linear dynamic systems using multivariate statistics

D. Lieftucht, Uwe Kruger, George Irwin, R.J. Treasure

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)


Treasure et al. (2004) recently proposed a new sub space-monitoring technique, based on the N4SID algorithm, within the multivariate statistical process control framework. This dynamic-monitoring method requires considerably fewer variables to be analysed when compared with dynamic principal component analysis (PCA). The contribution charts and variable reconstruction, traditionally employed for static PCA, are analysed in a dynamic context. The contribution charts and variable reconstruction may be affected by the ratio of the number of retained components to the total number of analysed variables. Particular problems arise if this ratio is large and a new reconstruction chart is introduced to overcome these. The utility of such a dynamic contribution chart and variable reconstruction is shown in a simulation and by application to industrial data from a distillation unit.
Original languageEnglish
Pages (from-to)437-446
Number of pages10
Issue number4
Publication statusPublished - 2006

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Instrumentation


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