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...

Descripción completa

Guardado en:

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
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Sea el primero en dejar un comentario!

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

Ejemplares similares