Water leak detection based on convolutional neural network using actual leak sounds and the hold-out method

Water leak detection based on convolutional neural network using actual leak sounds and the hold-out method

The main purpose of this study was to investigate whether machine learning can be used to detect leak sounds in the field. A method for detecting water leaks was developed using a convolutional neural network (CNN), after taking recurrence plots and visualising the time series as input data. In coll...

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Detalles Bibliográficos
Autores principales: Y. W. Nam, Y. Arai, T. Kunizane, A. Koizumi
Formato: article
Lenguaje:EN
Publicado: IWA Publishing 2021
Materias:
actual leaks
convolutional neural network
hold-out method
recurrence plot
water leak detection
water pipeline
Water supply for domestic and industrial purposes
TD201-500
River, lake, and water-supply engineering (General)
TC401-506
Acceso en línea:https://doaj.org/article/c2ca1ab646d24faab4a5f480ce3a704a
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https://doaj.org/article/c2ca1ab646d24faab4a5f480ce3a704a

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