A Probabilistic Digital Twin for Leak Localization in Water Distribution Networks Using Generative Deep Learning

Localizing leakages in large water distribution systems is an important and ever-present problem. Due to the complexity originating from water pipeline networks, too few sensors, and noisy measurements, this is a highly challenging problem to solve. In this work, we present a methodology based on ge...

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Detalles Bibliográficos
Autores principales: Mücke, Nikolaj T., Pandey, Prerna, Jain, Shashi, Bohté, Sander M., Oosterlee, Cornelis W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346374/
https://www.ncbi.nlm.nih.gov/pubmed/37448028
http://dx.doi.org/10.3390/s23136179

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346374/
https://www.ncbi.nlm.nih.gov/pubmed/37448028
http://dx.doi.org/10.3390/s23136179

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