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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Bibliographic Details
Main Authors:	Y. W. Nam, Y. Arai, T. Kunizane, A. Koizumi
Format:	article
Language:	EN
Published:	IWA Publishing 2021
Subjects:	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
Online Access:	https://doaj.org/article/c2ca1ab646d24faab4a5f480ce3a704a
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Water leak detection based on convolutional neural network using actual leak sounds and the hold-out method

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