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• W2130522732 abstract "In this paper, an original approach for robust fault detection and diagnosis (RFDD) is presented. We propose a method that makes use of H/sub 2/ and H/sub /spl infin// polynomial estimators to elaborate a RFDD procedure. The system considered is linear, stochastic and subject to noise, unknown inputs and uncertainties. The residual is obtained via factorization approach and then parameterized by H/sub 2/ and H/sub /spl infin// polynomial estimators to generate optimal robust fault detectors (ORFD). Adaptive thresholds are also derived with respect to an evaluation index. The results are illustrated by simulations on an actual rolling system." @default.
• W2130522732 created "2016-06-24" @default.
• W2130522732 creator A5027430303 @default.
• W2130522732 creator A5057041676 @default.
• W2130522732 date "2002-11-13" @default.
• W2130522732 modified "2023-09-25" @default.
• W2130522732 title "An approach to optimally robust fault detection and diagnosis" @default.
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• W2130522732 doi "https://doi.org/10.1109/cca.2001.973844" @default.
• W2130522732 hasPublicationYear "2002" @default.
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