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Conference papers

New Decision rules for Fisher discriminant analysis : applied to fault diagnosis

Abstract : A novel framework for fault diagnosis is proposed. New rules are presented to enhance decisions making under a Bayesian latent mixture model. The proposed decision rules improve Fisher discriminant analysis based scheme. These rules allow it to deal with known and not acknowledged faults. Performance evaluation using the Tennessee Eastman Process data is presented and shows a good performance of the proposed approach compared to existing methods.
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Conference papers
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https://hal.inria.fr/hal-03175810
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Submitted on : Sunday, March 21, 2021 - 1:41:37 PM
Last modification on : Tuesday, April 26, 2022 - 4:06:04 PM

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  • HAL Id : hal-03175810, version 1

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Mohamed Amine Atoui, Vincent Cocquempot. New Decision rules for Fisher discriminant analysis : applied to fault diagnosis. European Control Conference 2021, Jun 2021, Online, Netherlands. ⟨hal-03175810⟩

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