Fault Detection of Multimode Processes Using Concurrent Projection to Latent Structures

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

4 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)705-710
Journal / PublicationIFAC-PapersOnLine
Volume49
Issue number7
Online published9 Aug 2016
Publication statusPublished - 2016
Externally publishedYes

Abstract

Process monitoring based on Concurrent Projection to Latent Structures (CPLS) has been proposed recently as an efficient process monitoring tool to detect the input-relevant and output-relevant faults. In this paper, a novel multimode process monitoring approach is proposed to introduce external analysis into the CPLS monitoring framework. The process variables are divided into external variables, main variables and the output variables. The mode change is detected by monitoring the variation of the external variables through a mode-detection CPLS. The prediction of the main and quality variables by external variables is done by a PLS. After the influence of the external variables is removed from the main and quality variables, another process-monitoring CPLS is built to detect the main-variable-relevant faults and quality-variable-relevant faults. The proposed approach is illustrated with a simulation process.

Research Area(s)

  • concurrent partial least squares, external analysis, multiple mode operation

Citation Format(s)

Fault Detection of Multimode Processes Using Concurrent Projection to Latent Structures. / Zheng, Ying; Joe Qin, S.; Chai, Tianyou.
In: IFAC-PapersOnLine, Vol. 49, No. 7, 2016, p. 705-710.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review