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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| 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 |