Fault detection and isolation for linear time-invariant systems

Binfan Liu, Jennie Si

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

3 Scopus citations

Abstract

This paper is concerned with the problem of detecting and isolating faults by an observer. If the initial error of state estimation is zero, we show that faults can be isolated if and only if the system has a left-invertible detectability matrix which is defined in the present paper. For the more realistic case of nonzero initial error of state estimation, we develop fault isolation filters such that failures to be detected can be asymptotically isolated. We give necessary and sufficient conditions for the existence of such filters. We provide a method to design a fault isolation filter. This design procedure guarantees to isolate up to n faults, where n is the dimension of the system.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Conference on Decision and Control
PublisherIEEE
Pages3048-3053
Number of pages6
Volume3
StatePublished - 1994
EventProceedings of the 2nd IEEE International Symposium on Requirements Engineering - York, Engl
Duration: Mar 27 1995Mar 29 1995

Other

OtherProceedings of the 2nd IEEE International Symposium on Requirements Engineering
CityYork, Engl
Period3/27/953/29/95

ASJC Scopus subject areas

  • Chemical Health and Safety
  • Control and Systems Engineering
  • Safety, Risk, Reliability and Quality

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  • Cite this

    Liu, B., & Si, J. (1994). Fault detection and isolation for linear time-invariant systems. In Proceedings of the IEEE Conference on Decision and Control (Vol. 3, pp. 3048-3053). IEEE.