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Communication Dans Un Congrès Année : 2023

Fault detection combining adaptive degrees of freedom χ2-statistics and interval approach for nonlinear systems

Résumé

An enlargement of the Adaptive degrees of freedom χ2-statistics (ADFC) method to fault detection for nonlinear systems with mixed uncertainties (stochastic and bounded uncertainties) is presented in this paper. The ADFC approach, primarily developped for fault detection in case of linear systems, is then combined with the Reinforced likelihood box particle filter (RLBPF). A residual generator is used, followed by the adaptive amplifier coefficient (a.a.c.) concept in the decision making stage. Then, the proposed approach is applied to a nonlinear Magneto-Rheological damper model to illustrate the efficiency of the met.
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Dates et versions

hal-04069589 , version 1 (08-06-2023)

Identifiants

  • HAL Id : hal-04069589 , version 1

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Quoc Hung Lu, Soheib Fergani, Carine Jauberthie. Fault detection combining adaptive degrees of freedom χ2-statistics and interval approach for nonlinear systems. The 22nd World Congress of the International Federation of Automatic Control (IFAC), Jul 2023, Yokohama, Japan. ⟨hal-04069589⟩
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