Sensor placement for classifier-based leak localization in water distribution networks using hybrid feature selection
This paper presents a sensor placement approach for classifier-based leak localization in water distribution networks. The proposed method is based on a hybrid feature selection algorithm that combines the use of a filter based on relevancy and redundancy with a wrapper based on genetic algorithms....
| Autores: | , , , , |
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| Formato: | artículo |
| Fecha de publicación: | 2018 |
| País: | España |
| Recursos: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/130525 |
| Acesso em linha: | https://hdl.handle.net/2117/130525 https://dx.doi.org/10.1016/j.compchemeng.2017.09.002 |
| Access Level: | acceso abierto |
| Palavra-chave: | Automatic control Sensor placement Leak localization Water distribution networks Feature selection Genetic algorithms Classifiers Control automàtic Àrees temàtiques de la UPC::Informàtica::Automàtica i control |
| Resumo: | This paper presents a sensor placement approach for classifier-based leak localization in water distribution networks. The proposed method is based on a hybrid feature selection algorithm that combines the use of a filter based on relevancy and redundancy with a wrapper based on genetic algorithms. This algorithm is applied to data generated by hydraulic simulation of the considered water distribution network and it determines the optimal location of a prespecified number of pressure sensors to be used by a leak localization method based on pressure models and classifiers proposed in previous works by the authors. The method is applied to a small-size simplified network (Hanoi) to better analyze its computational performance and to a medium-size network (Limassol) to demonstrate its applicability to larger real-size networks. |
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