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Journal Articles Automatica Year : 2005

Optimal statistical fault detection with nuisance parameters

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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.

Dates and versions

hal-02356476 , version 1 (08-11-2019)

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