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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
Presentation of work at congresses
Name of edition
SAFEPROCES - 2018 10th IFAC Symposium on Fault Detection Supervision and Safety for Technical Processes
Date of publication
2018
Presentation's date
2018
Book of congress proceedings
Volume 51, Issue 24 of IFAC-PapersOnLIne
First page
742
Last page
747
DOI
https://doi.org/10.1016/j.ifacol.2018.09.658 Open in new window
Repository
http://hdl.handle.net/2117/123427 Open in new window
URL
https://www.sciencedirect.com/science/article/pii/S2405896318323760?via%3Dihub 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.
Keywords
Large-scale systems, fault diagnosis, grey-box model, inland waterways
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems

Participants