Optimal sensor placement for classifier-based leak localization in drinking water networks
Conference on Control and Fault Tolerant Systems (SYSTOL)
This paper presents a sensor placement method for classifier-based leak localization in Water Distribution Networks. The proposed approach consists in applying a Genetic Algorithm to decide the sensors to be used by a classifier (based on the k-Nearest Neighbor approach). The sensors are placed in an optimal way maximizing the accuracy of the leak localization. The results are illustrated by means of the application to the Hanoi District Metered Area and they are compared to the ones obtained by the Exhaustive Search Algorithm. A comparison with the results of a previous optimal sensor placement method is provided as well.
Optimal sensor placement, Water Distribution Networks,leak location, Genetic Algorithms
A. Soldevila, S. Tornil-Sin, R.M. Fernandez-Cantí, J. Blesa and V. Puig. Optimal sensor placement for classifier-based leak localization in drinking water networks, 3rd Conference on Control and Fault Tolerant Systems, 2016, Barcelona, pp. 319-324, IEEE.