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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

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Título: Pattern Recognition and Clustering of Transient Pressure Signals for Burst Location
Autor: Manzi, D. Brentan, B. M. Meirelles, G. Izquierdo Sebastián, Joaquín Luvizotto Jr., E.
Entidad UPV: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Fecha difusión:
Resumen:
[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 ...[+]
Palabras clave: Water distribution systems , Pipe bursts , Hydraulic transients , Real-time control , Machine learning
Derechos de uso: Reconocimiento (by)
Fuente:
Water. (issn: 2073-4441 )
DOI: 10.3390/w11112279
Editorial:
MDPI AG
Versión del editor: https://doi.org/10.3390/w11112279
Tipo: Artículo

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