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Model- vs. data-based approaches applied to fault diagnosis in potable water supply networks

Author
Cugueró, M.; Quevedo, J.; Alippi, C.; Roveri, M.; Puig, V.; García, D.; Trovò, F.
Type of activity
Journal article
Journal
Journal of hydroinformatics
Date of publication
2016-05-10
Volume
18
Number
5
First page
831
Last page
850
DOI
https://doi.org/10.2166/hydro.2016.218 Open in new window
Project funding
Efficient Integrated Real-time Monitoring and Control of Drinking Water Networks
Health-Aware and Resilient control of CRItical Infrastructures and Complex Systems (HARCRICS)
Operación Eficiente de Infraestructuras Críticas (ECOCIS)
Repository
http://hdl.handle.net/2117/100093 Open in new window
URL
http://jh.iwaponline.com/content/early/2016/05/10/hydro.2016.218 Open in new window
Abstract
In this paper, the problem of fault diagnosis in drinking water transport networks (DWTNs) is addressed. Two different fault diagnosis approaches are proposed to deal with this problem. The first one is based on a model-based approach exploiting a-priori information regarding physical/temporal relations existing between the measured variables in the monitored system, providing fault detection and isolation capabilities by means of the residuals generated using these measured variables and their ...
Citation
Cugueró, M., Quevedo, J., Alippi, C., Roveri, M., Puig, V., García, D., Trovò, F. Model- vs. data-based approaches applied to fault diagnosis in potable water supply networks. "Journal of hydroinformatics", 10 Maig 2016, vol. 18, núm. 5, p. 831-850.
Keywords
cognitive systems, critical infrastructure systems, fault isolation, hidden Markov models, model-based fault diagnosis, time series
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems
SIC - Smart Control Systems

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