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Título

Sensor placement for classifier-based leak localization in water distribution networks using hybrid feature selection

AutorSoldevila, Adrià; Blesa, Joaquim ; Tornil-Sin, Sebastian; Fernández Cantí, Rosa Mª; Puig, Vicenç
Palabras claveFeature selection
Classifiers
Genetic algorithms
Water distribution networks
Leak localization
Sensor placement
Fecha de publicación2018
EditorElsevier
CitaciónComputers and Chemical Engineering 108: 152-162 (2018)
ResumenThis 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.
URIhttp://hdl.handle.net/10261/167145
Identificadoresdoi: 10.1016/j.compchemeng.2017.09.002
issn: 0098-1354
e-issn: 1873-4375
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