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Optimal statistical fault detection with nuisance parameters

Abstract : Fault detection is addressed within a statistical framework. The goal of this paper is to propose an optimal statistical tool to detect a fault in a linear stochastic (dynamical) system with uncertainties (nuisance parameters or nuisance faults). It is supposed that the nuisance parameters are unknown but non-random; practically, this means that the nuisance can be intentionally chosen to maximize its negative impact on the monitored system (for instance, to mask a fault). Examples of ground station based and receiver autonomous Global Positioning System (GPS) integrity monitoring illustrate the proposed method.
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https://hal-utt.archives-ouvertes.fr/hal-02356476
Contributor : Jean-Baptiste Vu Van <>
Submitted on : Friday, November 8, 2019 - 5:37:08 PM
Last modification on : Thursday, March 5, 2020 - 3:33:40 PM

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Mitra Fouladirad, Igor Nikiforov. Optimal statistical fault detection with nuisance parameters. Automatica, Elsevier, 2005, 41 (7), pp.1157-1171. ⟨10.1016/j.automatica.2005.02.004⟩. ⟨hal-02356476⟩

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