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

Authors:
QINGHUA ZHANG;MICHÈLE BASSEVILLE;ALBERT BENVENISTE
Affiliations:
IRISA, Campus de Beaulieu, 35042 Rennes Cedex, France. and Also with INRIA France.;Also with CNRS France.;Also with INRIA France.
Venue:
Automatica (Journal of IFAC)
Year:
1998

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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 illustrate the relevance of the proposed FDI method.