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Statistical fault detection in a certain class of nonlinear systems with nuisance parameters

Hervé Lacresse 1 Antoine Grall 1 Igor Nikiforov 1
1 LM2S - Laboratoire Modélisation et Sûreté des Systèmes
ICD - Institut Charles Delaunay
Abstract : Fault detection is addressed within statistical framework in a certain class of nonlinear systems with nuisance parameters. The corresponding inference problem is stated. Particular emphasis is put on leading with nuisance parameters by using a linearization of the nonlinear mapping of the nuisance parameter into the observation vector.
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https://hal-utt.archives-ouvertes.fr/hal-02628420
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Submitted on : Tuesday, May 26, 2020 - 11:02:47 PM
Last modification on : Wednesday, January 26, 2022 - 11:05:57 AM

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Hervé Lacresse, Antoine Grall, Igor Nikiforov. Statistical fault detection in a certain class of nonlinear systems with nuisance parameters. 2003 American Control Conference, Jun 2003, Denver, United States. pp.3003-3008, ⟨10.1109/ACC.2003.1243988⟩. ⟨hal-02628420⟩

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