Fault detection and diagnosis relying on set membership identification for time varying systems

Vasso Reppa, Anthony Tzes

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

Abstract

In this paper, a Fault Detection and Diagnosis (FDD) method relying on Set Membership Identification (SMI) is presented, aiming at the detection of multiple abrupt parameter variations for a time varying system. The proposed method utilizes a jump linearly parametrizable model, assuming unknown but bounded measurement noise and parameter perturbations. The objective of SMI is to compute at every time instant the orthotope containing the nominal parameter vector, while a fault is detected at the time instant that this orthotope is empty. In order to proceed to fault isolation and identification, an update of the SMI procedure is realized. The fault isolation is based on the orthotopes' projections, whose centers are used for fault identification. Simulations studies are used to verify the efficiency of the suggested method applied in an Atomic Force Microscope.

Original languageEnglish (US)
Title of host publicationConference on Control and Fault-Tolerant Systems, SysTol'10 - Final Program and Book of Abstracts
Pages702-707
Number of pages6
DOIs
StatePublished - 2010
Event1st Conference on Control and Fault-Tolerant Systems, SysTol'10 - Nice, France
Duration: Oct 6 2010Oct 8 2010

Publication series

NameConference on Control and Fault-Tolerant Systems, SysTol'10 - Final Program and Book of Abstracts

Other

Other1st Conference on Control and Fault-Tolerant Systems, SysTol'10
CountryFrance
CityNice
Period10/6/1010/8/10

Keywords

  • Atomic force microscope
  • Fault detection
  • Fault identification
  • Fault isolation
  • Set membership identification

ASJC Scopus subject areas

  • Control and Systems Engineering

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