Fault Detection and Isolation in Nonlinear Dynamic Systems: A Combined Input-Output and Local Approach - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Reports (Research Report) Year : 1997

Fault Detection and Isolation in Nonlinear Dynamic Systems: A Combined Input-Output and Local Approach

Qinghua Zhang
  • Function : Author
  • PersonId : 830741
Michèle Basseville
Albert Benveniste

Abstract

The problem of fault detection and isolation (FDI) is addressed for nonlinear dynamic systems modeled by polynomial differential-algebraic equations. Ritt's algorithm is used to obtain an input-output representation of the monitored system by eliminating unknown variables. A local approach to change detection is then applied to the input-output representation for FDI residual generation and evaluation. Simulation results on a microbial growth process are provided, which illustrat- e the relevance of the proposed FDI method.
Fichier principal
Vignette du fichier
RR-3120.pdf (378.12 Ko) Télécharger le fichier

Dates and versions

inria-00073570 , version 1 (24-05-2006)

Identifiers

  • HAL Id : inria-00073570 , version 1

Cite

Qinghua Zhang, Michèle Basseville, Albert Benveniste. Fault Detection and Isolation in Nonlinear Dynamic Systems: A Combined Input-Output and Local Approach. [Research Report] RR-3120, INRIA. 1997. ⟨inria-00073570⟩
220 View
645 Download

Share

Gmail Facebook Twitter LinkedIn More