ON-LINE FAULT DETECTION AND DIAGNOSIS OF A REFINERY PROCESS

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

1 Scopus Citations
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Author(s)

  • J. Liu
  • K. W. Lim
  • W. K. Ho
  • R. Srinivasan
  • A. Tay
  • Y. X. Xi

Detail(s)

Original languageEnglish
Pages (from-to)885-890
Journal / PublicationIFAC Proceedings Volumes (IFAC-PapersOnline)
Volume36
Issue number5
Publication statusPublished - Jun 2003
Externally publishedYes

Conference

Title5th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, Safeprocess 2003
PlaceUnited States
CityWashington
Period9 - 11 June 1997

Abstract

This paper describes a model-based approach for fault detection and diagnosis of closed-loop dynamic systems using finite automaton tables. Given dynamic equations of a process, finite automaton tables are automatically generated to describe possible discrete state transitions for normal operation and faulty conditions, and then serve as input to the fault detection and diagnosis algorithm. This paper also presents software implementation architecture for this approach and applies it to a refinery process simulation. The result shows that faults can be on-line detected and diagnosed.

Research Area(s)

  • Fault detection, Fault diagnosis, Finite automata, Discretization, Supervisory control

Citation Format(s)

ON-LINE FAULT DETECTION AND DIAGNOSIS OF A REFINERY PROCESS. / Liu, J.; Lim, K. W.; Ho, W. K. et al.

In: IFAC Proceedings Volumes (IFAC-PapersOnline), Vol. 36, No. 5, 06.2003, p. 885-890.

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