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dc.contributor.authorSegovia Castillo, Pau
dc.contributor.authorBlesa Izquierdo, Joaquim
dc.contributor.authorDuviella, Eric
dc.contributor.authorRajaoarisoa, Lala H.
dc.contributor.authorNejjari Akhi-Elarab, Fatiha
dc.contributor.authorPuig Cayuela, Vicenç
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2018-10-31T17:52:26Z
dc.date.available2018-10-31T17:52:26Z
dc.date.issued2018
dc.identifier.citationSegovia, P., Blesa, J., Duviella, E., Rajaoarisoa, L.H., Nejjari, F., Puig, V. Sensor fault diagnosis in inland navigation networks based on a grey-box model. A: IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes. "Volume 51, Issue 24 of IFAC-PapersOnLIne". 2018, p. 742-747.
dc.identifier.urihttp://hdl.handle.net/2117/123427
dc.description.abstractInland navigation networks are equipped with limnimeters to measure and record water level data for the control of water levels and the management of water resources. When faults occur on sensors, corrupted data can be considered as correct, leading to undesirable management actions. Therefore, it is necessary to detect and localize these faults. In this paper, the detection and localization of sensor faults is performed through the analysis of the parameters of a grey-box model, which are obtained from available real data. The parameters are determined with a sliding window, with the exception of the delays, which are considered known a priori. A fault is detected and then localized when there is a change in the value of the parameters. This approach is well suited for constant faults and particularly well adapted for intermittent faults. Data of an inland navigation reach located in the north of France are used to highlight the performance of the proposed approach.
dc.format.extent6 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject.lcshNavigation - Automatic control
dc.subject.otherLarge-scale systems
dc.subject.otherinland waterways
dc.subject.otherfault diagnosis
dc.subject.othergrey-box model
dc.titleSensor fault diagnosis in inland navigation networks based on a grey-box model
dc.typeConference report
dc.subject.lemacNavegació -- Control automàtic
dc.contributor.groupUniversitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.identifier.doi10.1016/j.ifacol.2018.09.658
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S2405896318323760?via%3Dihub
dc.rights.accessOpen Access
drac.iddocument23448362
dc.description.versionPostprint (author's final draft)
upcommons.citation.authorSegovia, P., Blesa, J., Duviella, E., Rajaoarisoa, L.H., Nejjari, F., Puig, V.
upcommons.citation.contributorIFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes
upcommons.citation.publishedtrue
upcommons.citation.publicationNameVolume 51, Issue 24 of IFAC-PapersOnLIne
upcommons.citation.startingPage742
upcommons.citation.endingPage747


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Except where otherwise noted, content on this work is licensed under a Creative Commons license: Attribution-NonCommercial-NoDerivs 3.0 Spain