Leak location procedure based on the complex-valued FastICA blind deconvolution algorithm for water-filled branch pipe

Water pipe networks have a large number of branch joints. Branch joint shunting generates vortices in the fluid, which excite the pipe wall to produce a type of branch noise. The branch noise is coupled with the leak source signal through the pipe. Here, a novel leak location protocol based on the c...

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Main Authors: Mingyang Liu, Jin Yang, Endong Fan, Jing Qiu, Wei Zheng
Format: Article
Language:English
Published: IWA Publishing 2022-03-01
Series:Water Supply
Subjects:
Online Access:http://ws.iwaponline.com/content/22/3/2560
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author Mingyang Liu
Jin Yang
Endong Fan
Jing Qiu
Wei Zheng
author_facet Mingyang Liu
Jin Yang
Endong Fan
Jing Qiu
Wei Zheng
author_sort Mingyang Liu
collection DOAJ
description Water pipe networks have a large number of branch joints. Branch joint shunting generates vortices in the fluid, which excite the pipe wall to produce a type of branch noise. The branch noise is coupled with the leak source signal through the pipe. Here, a novel leak location protocol based on the complex-valued FastICA method (C-FastICA) is proposed to address the leak location problem under the branch noise interference. The C-FastICA, a complex-value domain blind deconvolution algorithm, effectively extended the cost function, constraint function, and iteration rules of the instantaneous linear FastICA into the complex-valued domain. The C-FastICA method was used to realize the separation of branch noise and leak source signal. The experimental results showed that the separation efficiency of the C-FastICA was higher than that of time-domain blind convolution separation (T-BCS). Furthermore, the relative location error of the C-FastICA method to the leak point was less than 14.238%, which was significantly lower than in traditional T-BCS and direct cross-correlation (DCC) technology. HIGHLIGHTS The paper proposed a procedure based on the complex-valued FastICA method (C-FastICA) to address the leak location problem under the branch noise interference.; The accuracy of the proposed C-FastICA leak location method is higher than the traditional cross-correlation location technology and time-domain deconvolution leak location technology.;
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spelling doaj.art-a35fa06fbfa64aa4b696173a26808e852022-12-22T02:23:30ZengIWA PublishingWater Supply1606-97491607-07982022-03-012232560257210.2166/ws.2021.450450Leak location procedure based on the complex-valued FastICA blind deconvolution algorithm for water-filled branch pipeMingyang Liu0Jin Yang1Endong Fan2Jing Qiu3Wei Zheng4 Key Laboratory of Optoelectronic Technology & System of China Education Ministry, Chongqing University, Chongqing 400044, China Key Laboratory of Optoelectronic Technology & System of China Education Ministry, Chongqing University, Chongqing 400044, China Key Laboratory of Optoelectronic Technology & System of China Education Ministry, Chongqing University, Chongqing 400044, China Key Laboratory of Optoelectronic Technology & System of China Education Ministry, Chongqing University, Chongqing 400044, China Key Laboratory of Optoelectronic Technology & System of China Education Ministry, Chongqing University, Chongqing 400044, China Water pipe networks have a large number of branch joints. Branch joint shunting generates vortices in the fluid, which excite the pipe wall to produce a type of branch noise. The branch noise is coupled with the leak source signal through the pipe. Here, a novel leak location protocol based on the complex-valued FastICA method (C-FastICA) is proposed to address the leak location problem under the branch noise interference. The C-FastICA, a complex-value domain blind deconvolution algorithm, effectively extended the cost function, constraint function, and iteration rules of the instantaneous linear FastICA into the complex-valued domain. The C-FastICA method was used to realize the separation of branch noise and leak source signal. The experimental results showed that the separation efficiency of the C-FastICA was higher than that of time-domain blind convolution separation (T-BCS). Furthermore, the relative location error of the C-FastICA method to the leak point was less than 14.238%, which was significantly lower than in traditional T-BCS and direct cross-correlation (DCC) technology. HIGHLIGHTS The paper proposed a procedure based on the complex-valued FastICA method (C-FastICA) to address the leak location problem under the branch noise interference.; The accuracy of the proposed C-FastICA leak location method is higher than the traditional cross-correlation location technology and time-domain deconvolution leak location technology.;http://ws.iwaponline.com/content/22/3/2560branch noisec-fasticadccleak locationt-bcs
spellingShingle Mingyang Liu
Jin Yang
Endong Fan
Jing Qiu
Wei Zheng
Leak location procedure based on the complex-valued FastICA blind deconvolution algorithm for water-filled branch pipe
Water Supply
branch noise
c-fastica
dcc
leak location
t-bcs
title Leak location procedure based on the complex-valued FastICA blind deconvolution algorithm for water-filled branch pipe
title_full Leak location procedure based on the complex-valued FastICA blind deconvolution algorithm for water-filled branch pipe
title_fullStr Leak location procedure based on the complex-valued FastICA blind deconvolution algorithm for water-filled branch pipe
title_full_unstemmed Leak location procedure based on the complex-valued FastICA blind deconvolution algorithm for water-filled branch pipe
title_short Leak location procedure based on the complex-valued FastICA blind deconvolution algorithm for water-filled branch pipe
title_sort leak location procedure based on the complex valued fastica blind deconvolution algorithm for water filled branch pipe
topic branch noise
c-fastica
dcc
leak location
t-bcs
url http://ws.iwaponline.com/content/22/3/2560
work_keys_str_mv AT mingyangliu leaklocationprocedurebasedonthecomplexvaluedfasticablinddeconvolutionalgorithmforwaterfilledbranchpipe
AT jinyang leaklocationprocedurebasedonthecomplexvaluedfasticablinddeconvolutionalgorithmforwaterfilledbranchpipe
AT endongfan leaklocationprocedurebasedonthecomplexvaluedfasticablinddeconvolutionalgorithmforwaterfilledbranchpipe
AT jingqiu leaklocationprocedurebasedonthecomplexvaluedfasticablinddeconvolutionalgorithmforwaterfilledbranchpipe
AT weizheng leaklocationprocedurebasedonthecomplexvaluedfasticablinddeconvolutionalgorithmforwaterfilledbranchpipe