Comparison of fuzzy modelling approaches for fault detection systems

Péter Baranyi, Ron J. Patton, Faisel J. Uppal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Fuzzy modelling together with Parallel Distributed Compensation (PDC)-based system analysis and controller/observer design techniques have emerged among the methods for developing fault detection and isolation (FDI). This paper provides a comparison of fuzzy logic modelling approaches for FDI of complex systems. The work is motivated by the modelling issues of the Takagi-Sugeno (T-S) fuzzy inference operator-based approximation structure that is essential for the implementation of a PDC system. The paper focuses on an application study of fault diagnosis for an industrial actuator system, conducted within the framework of the European study DAMADICS.

Original languageEnglish
Title of host publicationEuropean Control Conference, ECC 2003
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages653-658
Number of pages6
ISBN (Electronic)9783952417379
Publication statusPublished - Apr 13 2003
Event2003 European Control Conference, ECC 2003 - Cambridge, United Kingdom
Duration: Sep 1 2003Sep 4 2003

Publication series

NameEuropean Control Conference, ECC 2003

Other

Other2003 European Control Conference, ECC 2003
CountryUnited Kingdom
CityCambridge
Period9/1/039/4/03

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Keywords

  • Fault diagnosis
  • Fuzzy modelling
  • Modelling complexity and accuracy
  • Parallel distributed compensation

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Baranyi, P., Patton, R. J., & Uppal, F. J. (2003). Comparison of fuzzy modelling approaches for fault detection systems. In European Control Conference, ECC 2003 (pp. 653-658). [7085030] (European Control Conference, ECC 2003). Institute of Electrical and Electronics Engineers Inc..