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Conference object . 2017 . Peer-reviewed
License: CC BY NC ND
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Conference object . 2018 . Peer-reviewed
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Article . 2017 . Peer-reviewed
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Fault detection and isolation in flat navigation canals

Authors: Pau Segovia; Lala H. Rajaoarisoa; Eric Duviella; Joaquim Blesa; Fatiha Nejjari; Vicenç Puig; Klaudia Horváth;

Fault detection and isolation in flat navigation canals

Abstract

Inland navigation networks are composed of several artificial canals that are characterized by no slope. These canals are particularly subject to resonance phenomena, which can create waves such that the navigation condition might not be guaranteed. It is therefore required to ensure dealing with freefault measured data and actuators. In this work, a fault detection and isolation method based on the Integrator Delay Zero model (IDZ) is designed for flat navigation canals. The proposed method is dedicated to the detection and isolation of sensor and actuator faults. It is tested by considering the Cuinchy-Fontinettes canal located in the north of France.

Best Paper Award, atorgat pel Organizing Committee del CoDIT'17

Peer Reviewed

Award-winning

Countries
Netherlands, Spain
Keywords

Àrees temàtiques de la UPC::Informàtica::Automàtica i control, Classificació INSPEC::Automation::Transport control::Computerised navigation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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2
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