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

Author
Segovia, P.; Blesa, J.; Duviella, E.; Rajaoarisoa, L.H.; Nejjari, F.; Puig, V.
Type of activity
Journal article
Journal
IFAC-PapersOnLine
Date of publication
2018-01-01
Volume
51
Number
24
First page
742
Last page
747
DOI
https://doi.org/10.1016/j.ifacol.2018.09.658 Open in new window
Repository
https://upcommons.upc.edu/handle/2117/123427 Open in new window
URL
https://www.sciencedirect.com/science/article/pii/S2405896318323760 Open in new window
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 obtai...
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.
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems

Participants