Publication
Sensor fault diagnosis in inland navigation networks based on a grey-box model
Conference Article
Conference
IFAC Symposium on Fault Detection Supervision and Safety for Technical Processes (SAFEPROCESS)
Edition
10th
Pages
742-747
Doc link
https://doi.org/10.1016/j.ifacol.2018.09.658
File
Authors
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Segovia Castillo, Pau
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Blesa Izquierdo, Joaquim
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Duviella, Eric
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Rajaoarisoa, Lala
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Nejjari Akhi-Elarab, Fatiha
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Puig Cayuela, Vicenç
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.
Categories
control theory.
Author keywords
Large-scale systems, inland waterways, fault diagnosis, grey-box model
Scientific reference
P. Segovia, J. Blesa, E. Duviella, L. Rajaoarisoa, F. Nejjari and V. Puig. Sensor fault diagnosis in inland navigation networks based on a grey-box model, 10th IFAC Symposium on Fault Detection Supervision and Safety for Technical Processes, 2018, Warsow, Poland, Vol 51-24 of IFAC Papers Online, pp. 742-747, IFAC-Elsevier.
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