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

Qinghua Zhang 1 Michèle Basseville 1 Albert Benveniste 1
1 SIGMA2 - Signal, models, algorithms
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, INRIA Rennes
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.
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https://hal.inria.fr/inria-00073570
Contributor : Rapport de Recherche Inria <>
Submitted on : Wednesday, May 24, 2006 - 1:12:22 PM
Last modification on : Thursday, February 11, 2021 - 2:48:05 PM
Long-term archiving on: : Sunday, April 4, 2010 - 10:01:48 PM

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  • HAL Id : inria-00073570, version 1

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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⟩

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