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Pattern Recognition and Clustering of Transient Pressure Signals for Burst Location

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Pattern Recognition and Clustering of Transient Pressure Signals for Burst Location

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Manzi, D.; Brentan, BM.; Meirelles, G.; Izquierdo Sebastián, J.; Luvizotto Jr., E. (2019). Pattern Recognition and Clustering of Transient Pressure Signals for Burst Location. Water. 11(11):1-13. https://doi.org/10.3390/w11112279

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/140508

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Title: Pattern Recognition and Clustering of Transient Pressure Signals for Burst Location
Author: Manzi, D. Brentan, B. M. Meirelles, G. Izquierdo Sebastián, Joaquín Luvizotto Jr., E.
UPV Unit: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Issued date:
Abstract:
[EN] A large volume of the water produced for public supply is lost in the systems between sources and consumers. An important-in many cases the greatest-fraction of these losses are physical losses, mainly related to leaks ...[+]
Subjects: Water distribution systems , Pipe bursts , Hydraulic transients , Real-time control , Machine learning
Copyrigths: Reconocimiento (by)
Source:
Water. (issn: 2073-4441 )
DOI: 10.3390/w11112279
Publisher:
MDPI AG
Publisher version: https://doi.org/10.3390/w11112279
Type: Artículo

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