== Abstract ==

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Trabajo presentado al 19th IFAC World Congress celebrado del 24 al 29 de agosto de 2014 en Cape Town (Sudafrica).

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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 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.

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This work is a contribution to the GEPET’Eau project which is granted by the French ministery MEDDE - GICC, the French institution ORNERC and the DGITM

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Peer Reviewed

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== Original document ==

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The different versions of the original document can be found in:

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* [http://hdl.handle.net/10261/127389 http://hdl.handle.net/10261/127389]

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* [http://hdl.handle.net/2117/25018 http://hdl.handle.net/2117/25018]

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* [http://pdfs.semanticscholar.org/9c67/79193ad2e577f9ecd97c6e43a19835b3b644.pdf http://pdfs.semanticscholar.org/9c67/79193ad2e577f9ecd97c6e43a19835b3b644.pdf]

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* [https://api.elsevier.com/content/article/PII:S1474667016424390?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S1474667016424390?httpAccept=text/xml],

: [https://api.elsevier.com/content/article/PII:S1474667016424390?httpAccept=text/plain https://api.elsevier.com/content/article/PII:S1474667016424390?httpAccept=text/plain],

: [http://dx.doi.org/10.3182/20140824-6-za-1003.01548 http://dx.doi.org/10.3182/20140824-6-za-1003.01548] under the license https://www.elsevier.com/tdm/userlicense/1.0/

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* [https://www.sciencedirect.com/science/article/pii/S1474667016424390 https://www.sciencedirect.com/science/article/pii/S1474667016424390],

: [http://www.iri.upc.edu/files/scidoc/1609-Sensor-fault-diagnosis-of-inland-navigation-system-using-physical-model-and-pattern-recognition-approach.pdf http://www.iri.upc.edu/files/scidoc/1609-Sensor-fault-diagnosis-of-inland-navigation-system-using-physical-model-and-pattern-recognition-approach.pdf],

: [https://upcommons.upc.edu/handle/2117/25018 https://upcommons.upc.edu/handle/2117/25018],

: [https://digital.csic.es/handle/10261/127389 https://digital.csic.es/handle/10261/127389],

: [http://digital.csic.es/bitstream/10261/127389/1/Pattern%20Recognition%20Approach.pdf http://digital.csic.es/bitstream/10261/127389/1/Pattern%20Recognition%20Approach.pdf],

: [https://digital.csic.es/bitstream/10261/127389/1/Pattern%20Recognition%20Approach.pdf https://digital.csic.es/bitstream/10261/127389/1/Pattern%20Recognition%20Approach.pdf],

: [https://academic.microsoft.com/#/detail/2047325171 https://academic.microsoft.com/#/detail/2047325171]

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