Publication
Sensor fault diagnosis of inland navigation system using physical model and pattern recognition approach
Conference Article
Conference
IFAC World Congress (IFAC)
Edition
19th
Pages
5309-5314
Doc link
http://dx.doi.org/10.3182/20140824-6-ZA-1003.01548
File
Authors
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Horváth, Klaudia
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Blesa Izquierdo, Joaquim
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Duviella, Eric
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Rajaoarisoa, Lala
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Puig Cayuela, Vicenç
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Chuquet, Karine
Abstract
In recent years, inland navigation networks benefit from the innovation of the instrumentation and SCADA systems. These data acquisition and control systems lead to a reactive asset-management of inland navigation networks. However, sensors and actuators are subject to faults due to the strong effects of the environment, aging, etc. In this paper, a sensor Fault Detection and Isolation (FDI) approach is proposed using an Integrator-Delay-Zero (IDZ) model, interval observers and the dynamic classification algorithm AUDyC. The combined use of these approaches allows the improvement of the sensor fault diagnosis. The proposed approach is introduced through the case study of the Cuinchy-Fontinettes reach in the north of France.
Categories
observability.
Author keywords
fault diagnosis, model-based, pattern recognition, large scale system, inland navigation
Scientific reference
K. Horváth, J. Blesa, E. Duviella, L. Rajaoarisoa, V. Puig and K. Chuquet. Sensor fault diagnosis of inland navigation system using physical model and pattern recognition approach, 19th IFAC World Congress, 2014, Cape Town, South Africa, pp. 5309-5314.
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