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Sensor fault diagnosis in inland navigation networks based on a grey-box model
dc.contributor.author | Segovia Castillo, Pau |
dc.contributor.author | Blesa Izquierdo, Joaquim |
dc.contributor.author | Duviella, Eric |
dc.contributor.author | Rajaoarisoa, Lala H. |
dc.contributor.author | Nejjari Akhi-Elarab, Fatiha |
dc.contributor.author | Puig Cayuela, Vicenç |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.date.accessioned | 2018-10-31T17:52:26Z |
dc.date.available | 2018-10-31T17:52:26Z |
dc.date.issued | 2018 |
dc.identifier.citation | Segovia, 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.uri | http://hdl.handle.net/2117/123427 |
dc.description.abstract | Inland 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.extent | 6 p. |
dc.language.iso | eng |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Automàtica i control |
dc.subject.lcsh | Navigation - Automatic control |
dc.subject.other | Large-scale systems |
dc.subject.other | inland waterways |
dc.subject.other | fault diagnosis |
dc.subject.other | grey-box model |
dc.title | Sensor fault diagnosis in inland navigation networks based on a grey-box model |
dc.type | Conference report |
dc.subject.lemac | Navegació -- Control automàtic |
dc.contributor.group | Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control |
dc.identifier.doi | 10.1016/j.ifacol.2018.09.658 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S2405896318323760?via%3Dihub |
dc.rights.access | Open Access |
local.identifier.drac | 23448362 |
dc.description.version | Postprint (author's final draft) |
local.citation.author | Segovia, P.; Blesa, J.; Duviella, E.; Rajaoarisoa, L.H.; Nejjari, F.; Puig, V. |
local.citation.contributor | IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes |
local.citation.publicationName | Volume 51, Issue 24 of IFAC-PapersOnLIne |
local.citation.startingPage | 742 |
local.citation.endingPage | 747 |