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Leak localization in water distribution networks using model-based bayesian reasoning

Author
Soldevila, A.; Rosa M. Fernandez-Canti; Blesa, J.; Tornil-Sin, S.; Puig, V.
Type of activity
Presentation of work at congresses
Name of edition
15th European Control Conference
Date of publication
2016
Presentation's date
2016-06-30
Book of congress proceedings
ECC 2016 European Control Conference June 29 - July 1, 2016. Aalborg, Denmark
First page
1758
Last page
1763
DOI
https://doi.org/10.1109/ECC.2016.7810545 Open in new window
Project funding
DPI2014-58104-R Health-Aware and Resilient control of CRItical Infrastructures and Complex Systems (HARCRICS)
Efficient Integrated Real-time Monitoring and Control of Drinking Water Networks
Operación Eficiente de Infraestructuras Críticas (ECOCIS)
Repository
http://hdl.handle.net/2117/101117 Open in new window
Abstract
This paper presents a new method for leak localization in Water Distribution Networks that uses a model-based approach combined with Bayesian reasoning. Probability density functions in model-based pressure residuals are calibrated off-line for all the possible leak scenarios by using a hydraulic simulator, being leak size uncertainty, demand uncertainty and sensor noise considered. A Bayesian reasoning is applied online to the available residuals to determine the location of leaks present in th...
Citation
Soldevila, A., Rosa M. Fernandez-Canti, Blesa, J., Tornil-Sin, S., Puig, V. Leak localization in water distribution networks using model-based bayesian reasoning. A: European Control Conference. "ECC 2016 European Control Conference June 29 - July 1, 2016. Aalborg, Denmark". Aalborg: 2016, p. 1758-1763.
Keywords
Bayesian reasoning, Water distribution networks, fault diagnosis, leak localization, model-based.
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems
SIC - Smart Control Systems

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