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Optimal statistical fault detection with nuisance parameters

Mitra Fouladirad 1 Igor Nikiforov 1
1 LM2S - Laboratoire Modélisation et Sûreté des Systèmes
ICD - Institut Charles Delaunay
Abstract : Fault detection is addressed within a statistical framework. The corresponding inference problem is stated. Particular emphasis is put on dealing with nuisance parameters. A statistical tool for solving this inference problem is described. An example illustrates the proposed method.
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Conference papers
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https://hal-utt.archives-ouvertes.fr/hal-02356471
Contributor : Jean-Baptiste Vu Van <>
Submitted on : Friday, November 8, 2019 - 5:34:49 PM
Last modification on : Thursday, March 5, 2020 - 3:27:10 PM

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Mitra Fouladirad, Igor Nikiforov. Optimal statistical fault detection with nuisance parameters. 2003 American Control Conference, Jun 2003, Denver, United States. pp.2997-3002, ⟨10.1109/ACC.2003.1243781⟩. ⟨hal-02356471⟩

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