The application of a model-based leak localization method on the data set provided for the Battle of Leakage Detection and Isolation Methods 2020 is investigated. First, an analysis of flow residuals is used to detect a possible leak event which is then confirmed or rejected by the model-based leak localization. A prior clustering of daily flow profiles results in the identification of possible leak days, and leak-free days, in the entire data set.The project was co-funded by Cla-Val UK Lt
Leaks in water distribution systems (WDSs) cause water and revenue losses, environmental pollution, ...
International audienceThis paper presents an investigation of the capacity of machine learning metho...
20 to 30% of drinking water produced is lost due to leaks in water distribution pipes. In times of w...
The ill-posed inverse problem for detecting and localizing leakage hotspots is solved using a novel ...
The worldwide growing demand of water supply requires a proper management of the available hydraulic...
This research article presents a model-based framework for detecting and localizing leaks in water d...
This paper presents the practical results obtained on the field from two different methods for ident...
AbstractThis paper presents the practical results obtained on the field from two different methods f...
Leaks represent one of the most relevant faults in water distribution networks (WDN), resulting in s...
Water losses are one of the main consequences of infrastructure failures in water distribution netwo...
Trabajo presentado a la 11th International Conference on Hydroinformatics celebrada en New York (US)...
Leakage is the main source of water loss in water distribution networks (WDNs). Therefore, leak dete...
“The final publication is available at Springer via http://dx.doi.org/10.1016/j.conengprac.2016.07.0...
Model-based methodologies can assist in addressing the challenging problem of leakage detection and ...
Water scarcity is becoming an increasing problem worldwide, and an issue compounding the problem is ...
Leaks in water distribution systems (WDSs) cause water and revenue losses, environmental pollution, ...
International audienceThis paper presents an investigation of the capacity of machine learning metho...
20 to 30% of drinking water produced is lost due to leaks in water distribution pipes. In times of w...
The ill-posed inverse problem for detecting and localizing leakage hotspots is solved using a novel ...
The worldwide growing demand of water supply requires a proper management of the available hydraulic...
This research article presents a model-based framework for detecting and localizing leaks in water d...
This paper presents the practical results obtained on the field from two different methods for ident...
AbstractThis paper presents the practical results obtained on the field from two different methods f...
Leaks represent one of the most relevant faults in water distribution networks (WDN), resulting in s...
Water losses are one of the main consequences of infrastructure failures in water distribution netwo...
Trabajo presentado a la 11th International Conference on Hydroinformatics celebrada en New York (US)...
Leakage is the main source of water loss in water distribution networks (WDNs). Therefore, leak dete...
“The final publication is available at Springer via http://dx.doi.org/10.1016/j.conengprac.2016.07.0...
Model-based methodologies can assist in addressing the challenging problem of leakage detection and ...
Water scarcity is becoming an increasing problem worldwide, and an issue compounding the problem is ...
Leaks in water distribution systems (WDSs) cause water and revenue losses, environmental pollution, ...
International audienceThis paper presents an investigation of the capacity of machine learning metho...
20 to 30% of drinking water produced is lost due to leaks in water distribution pipes. In times of w...