Improving mode-change and fault isolation of hybrid system using instantaneous sensitivity matrices

Rami Levy, Shai Arogeti, Danwei Wang

Research output: Contribution to conferencePaperpeer-review

3 Scopus citations

Abstract

One approach to quantitative model-based fault detection and isolation (FDI) is based on analytical redundancy relations (ARRs) and fault signatures. Numerical evaluation of an ARR creates a residual, which then, provides online information on the consistency of the system and its nominal model. An inconsistency is represented by a signature. Traditionally in the quantitative approach, these signatures are binary vectors, where the term 0 means a residual is consistent and 1 means inconsistent. In this paper, the measured trend of residuals is utilized for FDI by a different type of signature, called sensitivity signature. In a sensitivity signature, the consistency of ARRs is represented by three terms; the term +1 indicates a residual is crossing an upper threshold, the term-1 indicates a residual is crossing a lower threshold and the term 0 means otherwise. The expected sensitivity signature related to a certain fault or to a mode change is taken from partial derivative of residuals. Fault isolation is a process where the measured signature is compared to signatures from the set of expected signatures. Since consistency, in the sensitivity approach, is represented by three terms (instead of two), more distinguished signatures are generated and improved fault and mode change isolation abilities are achieved.

Original languageEnglish
Pages116-123
Number of pages8
StatePublished - 1 Jan 2013
Event1st International and 16th National Conference on Machines and Mechanisms, iNaCoMM 2013 - Roorkee, India
Duration: 18 Dec 201320 Dec 2013

Conference

Conference1st International and 16th National Conference on Machines and Mechanisms, iNaCoMM 2013
Country/TerritoryIndia
CityRoorkee
Period18/12/1320/12/13

Keywords

  • Fault detection and isolation (FDI)
  • Hybrid bond graph
  • Hybrid systems
  • Modechange isolation
  • Sensitivity signature
  • Sensitivity signature matrices

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