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Sliding window assessment for sensor fault model-based diagnosis in inland waterways

Authors: Segovia Castillo, Pablo; Blesa Izquierdo, Joaquim; Duviella, Eric; Rajaoarisoa, Lala H.; Nejjari Akhi-Elarab, Fatiha; Puig Cayuela, Vicenç;

Sliding window assessment for sensor fault model-based diagnosis in inland waterways

Abstract

The Cuinchy-Fontinettes reach belongs to the inland waterways in the north of France. It is equipped with limnimeters that measure water level data for the management of the water resources. These data can be corrupted by constant or intermittent faults. Hence, it is necessary to detect and localize these faults in order to guarantee efficient management actions. The proposed fault diagnosis method is based on the analysis of the parameters of a grey-box model. These parameters are obtained from available real data by using a sliding window, whose size is determined based on the level of excitation of input signals. Then, several scenarios involving constant and intermittent faults are proposed to discuss the performance of the proposed FDI approach as well as the effect of the sliding window size on the results.

Peer reviewed

Country
Spain
Keywords

Large-scale systems, Inland waterways, Large-scale systemsinland waterwaysfault diagnosisgrey-box model, Inland navigation--Remote control, Grey-box model, Navegació interior--Telecontrol, Fault diagnosis

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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
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
6
Top 10%
Average
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74
79
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gold