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• W2089619904 abstract "This paper adresses the problem of fault detection and isolation by using a noisy measurement vector corrupted by some linear unknown nuisance parameters. An invariant constrained asymptotically uniformly minimax test is proposed. It minimizes the maximum false isolation probability as the signal-to-noise ratio becomes arbitrary large, uniformly with respect to the unknown fault amplitude and independently on the nuisance parameters. The theoretical statistical performances of this algorithm are established. To illustrate the practical interest of this test, it is applied to the problem of fault detection and isolation in network origin-destination traffic demands from simple link load measurements. The test performances are evaluated by using real traffic data from a backbone network." @default.
• W2089619904 created "2016-06-24" @default.
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• W2089619904 date "2011-01-01" @default.
• W2089619904 modified "2023-09-27" @default.
• W2089619904 title "Fault Detection and Isolation in Large-Scale IP Network" @default.
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• W2089619904 doi "https://doi.org/10.3182/20110828-6-it-1002.02469" @default.
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