Using Novel Complex-Efficient FastICA Blind Deconvolution Method for Urban Water Pipe Leak Localization in the Presence of Branch Noise-Reference-Cited by-同舟云学术

Using Novel Complex-Efficient FastICA Blind Deconvolution Method for Urban Water Pipe Leak Localization in the Presence of Branch Noise

Published:2021-10 Issue:10 Volume:147 Page:04021072
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Liu Mingyang¹,Yang Jin²,Zheng Wei³,Fan Endong¹

Affiliation:

1. Ph.D. Candidate, Key Laboratory of Optoelectronic Technology and System of China Education Ministry, Chongqing Univ., Chongqing 400044, PR China.

2. Professor, Key Laboratory of Optoelectronic Technology and System of China Education Ministry, Chongqing Univ., Chongqing 400044, PR China (corresponding author).

3. Professor, Key Laboratory of Optoelectronic Technology and System of China Education Ministry, Chongqing Univ., Chongqing 400044, PR China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29WR.1943-5452.0001453

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5. Leak Detection and Topology Identification in Pipelines Using Fluid Transients and Artificial Neural Networks

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