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Fault detection and isolation of inland navigation channel: application to the Cuinchy-Fontinettes reach
Duviella, Eric; Rajaoarisoa, Lala H.; Blesa Izquierdo, Joaquim; Chuquet, Karine
Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. SIC - Sistemes Intel·ligents de Control
Inland navigation networks are mainly used for transport with economic and environmental benefits. In a climate change context which leads to the scarcity of the water resource, the control of navigation levels and the supervision of these networks become crucial. Thus, this paper is focused on the sensors Fault Detection and Isolation of inland navigation reaches. A modeling method based on the identification technique is proposed. Then, based on residuals, the dynamic classification algorithm AUDyC leads to the detection and diagnosis of sensors faults. Setting errors and slow drifts are considered. The proposed methods are applied on the Cuinchy- Fontinettes reach benchmark.
Peer Reviewed
Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Agents intel·ligents
Automatic control
Navigation
Fault Detection and Isolation
Inland navigation channel
Control automàtic
Navegació
Classificació INSPEC::Automation
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/submittedVersion
info:eu-repo/semantics/conferenceObject
Institute of Electrical and Electronics Engineers (IEEE)
         

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