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

Hervé Lacresse (1) , Antoine Grall (1) , Igor V. Nikiforov (1)

1 LM2S - Laboratoire Modélisation et Sûreté des Systèmes

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.

Domains: Computer Science [cs]; Performance [cs.PF]

Hervé Lacresse, Antoine Grall, Igor V. 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⟩