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Title

Sensor fault diagnosis in inland navigation networks based on a grey-box model

AuthorsSegovia Castillo, Pablo; Blesa, Joaquim CSIC ORCID ; Duviella, Eric; Rajaoarisoa, Lala; Nejjari, Fatiha; Puig, Vicenç CSIC ORCID
KeywordsLarge-scale systems
Inland waterways
Fault diagnosis
Grey-box model
Issue Date11-Oct-2018
PublisherElsevier
CitationIFAC-PapersOnLine 51(24): 742-747 (2018)
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.
Publisher version (URL)https://doi.org/10.1016/j.ifacol.2018.09.658
URIhttp://hdl.handle.net/10261/179576
DOIhttp://dx.doi.org/10.1016/j.ifacol.2018.09.658
ISSN1474-6670
Appears in Collections:(IRII) Artículos
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