Leak Identification Based on CS-ResNet Under Different Leakage Apertures for Water-Supply Pipeline

Leak Identification Based on CS-ResNet Under Different Leakage Apertures for Water-Supply Pipeline

Considering the problem of difficulty in transmission and storage due to a large amount of data in the water-supply network monitoring system based on a wireless sensor network (WSN), we propose a sparse representation of the water-supply network monitoring data by using compressed sensing (CS) meth...

Full description

Bibliographic Details
Main Authors: Lin Mei, Jun Zhou, Shuaiyong Li, Mengqian Cai, Tong Li
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Pipeline leakage
compressed sensing
residual neural network
observation matrix
Online Access:https://ieeexplore.ieee.org/document/9780360/

Internet

https://ieeexplore.ieee.org/document/9780360/

Similar Items