Sensor placement for classifier-based leak localization in water distribution networks using hybrid feature selection
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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.
CitationSoldevila, A. [et al.]. Sensor placement for classifier-based leak localization in water distribution networks using hybrid feature selection. "Computers & chemical engineering", 4 Gener 2018, vol. 108, núm. 4 January 2018, p. 152-162.