Optimal Sensor Placement for Leak Location in Water Distribution Networks using Evolutionary Algorithms
In this paper, a sensor placement approach to improve the leak location in waterdistribution networks is proposed when the leak signature space (LSS) method is used.The sensor placement problem is formulated as an integer optimization problem where thecriterion to be minimized is the number of overl...
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doaj-fa723e0178254953bdfd4305f91536182020-11-25T00:12:16ZengMDPI AGWater2073-44412015-11-017116496651510.3390/w7116496w7116496Optimal Sensor Placement for Leak Location in Water Distribution Networks using Evolutionary AlgorithmsMyrna V. Casillas0Luis E. Garza-Castañón1Vicenç Puig2Supervision and Advanced Control Chair, Tecnológico de Monterrey, Campus Monterrey, Av. Eugenio Garza Sada 2501, 64849 Monterrey, MexicoSupervision and Advanced Control Chair, Tecnológico de Monterrey, Campus Monterrey, Av. Eugenio Garza Sada 2501, 64849 Monterrey, MexicoAdvanced Control Systems Research Group, Technical University of Catalonia, Rambla Sant Nebridi 10, 08222 Terrassa, SpainIn this paper, a sensor placement approach to improve the leak location in waterdistribution networks is proposed when the leak signature space (LSS) method is used.The sensor placement problem is formulated as an integer optimization problem where thecriterion to be minimized is the number of overlapping signature domains computed fromthe original LSS representation. First, a semi-exhaustive search approach based on a lazyevaluation mechanism ensures optimal placement in the case of low complexity scenarios.For more complex cases, a stochastic optimization process is proposed, based on eitherthe genetic algorithms (GAs) or particle swarm optimization (PSO). Experiments on twodifferent networks are used to evaluate the performance of the resolution methods, as well asthe efficiency achieved in the leak location when using the sensor placement results.http://www.mdpi.com/2073-4441/7/11/6496water distribution networksleak isolationsensor placementleak signature space |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Myrna V. Casillas Luis E. Garza-Castañón Vicenç Puig |
spellingShingle |
Myrna V. Casillas Luis E. Garza-Castañón Vicenç Puig Optimal Sensor Placement for Leak Location in Water Distribution Networks using Evolutionary Algorithms Water water distribution networks leak isolation sensor placement leak signature space |
author_facet |
Myrna V. Casillas Luis E. Garza-Castañón Vicenç Puig |
author_sort |
Myrna V. Casillas |
title |
Optimal Sensor Placement for Leak Location in Water Distribution Networks using Evolutionary Algorithms |
title_short |
Optimal Sensor Placement for Leak Location in Water Distribution Networks using Evolutionary Algorithms |
title_full |
Optimal Sensor Placement for Leak Location in Water Distribution Networks using Evolutionary Algorithms |
title_fullStr |
Optimal Sensor Placement for Leak Location in Water Distribution Networks using Evolutionary Algorithms |
title_full_unstemmed |
Optimal Sensor Placement for Leak Location in Water Distribution Networks using Evolutionary Algorithms |
title_sort |
optimal sensor placement for leak location in water distribution networks using evolutionary algorithms |
publisher |
MDPI AG |
series |
Water |
issn |
2073-4441 |
publishDate |
2015-11-01 |
description |
In this paper, a sensor placement approach to improve the leak location in waterdistribution networks is proposed when the leak signature space (LSS) method is used.The sensor placement problem is formulated as an integer optimization problem where thecriterion to be minimized is the number of overlapping signature domains computed fromthe original LSS representation. First, a semi-exhaustive search approach based on a lazyevaluation mechanism ensures optimal placement in the case of low complexity scenarios.For more complex cases, a stochastic optimization process is proposed, based on eitherthe genetic algorithms (GAs) or particle swarm optimization (PSO). Experiments on twodifferent networks are used to evaluate the performance of the resolution methods, as well asthe efficiency achieved in the leak location when using the sensor placement results. |
topic |
water distribution networks leak isolation sensor placement leak signature space |
url |
http://www.mdpi.com/2073-4441/7/11/6496 |
work_keys_str_mv |
AT myrnavcasillas optimalsensorplacementforleaklocationinwaterdistributionnetworksusingevolutionaryalgorithms AT luisegarzacastanon optimalsensorplacementforleaklocationinwaterdistributionnetworksusingevolutionaryalgorithms AT vicencpuig optimalsensorplacementforleaklocationinwaterdistributionnetworksusingevolutionaryalgorithms |
_version_ |
1725400102005112832 |