Sensor fault diagnosis for bilinear systems using data-based residuals

Assia Hakem 1 Komi Midzodzi Pekpe 2 Vincent Cocquempot 2
2 STF - Systèmes Tolérants aux Fautes
CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Abstract : The proposed data-based FDI method has the advantage to require only available data: control signals and measured outputs. The unique information that we have about the system is its structure but the parameters values are supposed to be unknown. This data-based residual method was described, by the same authors in previous publication, for linear systems. In this paper we apply this method to bilinear structure models. A particular focus is made on computational complexity reduction. It will be shown that a part of the system dynamics may be neglected with the consequence to simplify the on-line residual computation. This method is illustrated on a simulated Activated Sludge Process.
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Conference papers
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Contributor : Vincent Cocquempot <>
Submitted on : Wednesday, June 20, 2012 - 11:27:56 AM
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  • HAL Id : hal-00710184, version 1



Assia Hakem, Komi Midzodzi Pekpe, Vincent Cocquempot. Sensor fault diagnosis for bilinear systems using data-based residuals. 50th IEEE Conference on Decision and Control and European Control Conference : IEEE CDC/ECC 2011, Dec 2011, Orlando, United States. pp.1576 - 1582. ⟨hal-00710184⟩



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