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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IWA Publishing
2022-03-01
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| Series: | Water Supply |
| Subjects: | |
| Online Access: | http://ws.iwaponline.com/content/22/3/2560 |
| Summary: | 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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| ISSN: | 1606-9749 1607-0798 |