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In recent years, inland navigation networks benefit from the innovation of the instrumentation and SCADA systems. These data acquisition and control systems le d 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.
CitationK. Horváth [et al.]. Sensor fault diagnosis of inland navigation system using physical model and pattern recognition approach. A: World Congress of the International Federation of Automatic Control. "Proceedings of the 19th IFAC World Congress, 2014". Cape Town: 2014, p. 5309-5314.
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