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The effects of resonances on time delay estimation for water leak detection in plastic pipes

The effects of resonances on time delay estimation for water leak detection in plastic pipes
The effects of resonances on time delay estimation for water leak detection in plastic pipes
In many water distribution systems, metallic pipes are being replaced by plastic pipes due to their deterioration and age. Although acoustic methods are effective in finding leaks in metallic pipes, they have been found to be problematic with plastic pipes due to the high damping within the pipe-wall. In acoustic correlation methods, sensors are placed either side of a suspected leak, and the peak in the crosscorrelation function of the measured signals gives the time difference(delay) between the arrival times of the leak noise at the sensors. To convert the time delay into a distance, the speed at which the leak noise propagates along the pipe (wave-speed) needs to be known. It has been found the structural dynamics of the system can corrupt time delay estimates. In this paper, data from test-rigs in the United Kingdom and Canada are used to demonstrate the problems encountered, and a model is developed to further investigate which of two commonly used correlation algorithms are more robust to the presence of resonances in buried pipe systems. It is found that this is highly sensitive to the bandwidth over which the analysis is conducted. Moreover it is further found the Phase Transform (PHAT), which is frequently used for leak noise detection, is particularly sensitive to the presence of resonances, whereas the basic cross-correlation (BCC) function is found to be more robust.
leak detection, water pipes, resonance, cross-correlation, time delay estimation
0022-460X
Almeida, Fabrício
b9178bd5-600e-4c6e-b87e-2e613fd8e106
Brennan, M.J.
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Joseph, Phillip
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Gao, Yan
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Paschoalini, A.T.
bfa1fed9-f566-4380-807a-2c53e01b6627
Almeida, Fabrício
b9178bd5-600e-4c6e-b87e-2e613fd8e106
Brennan, M.J.
7f39b4f4-810d-49d5-be90-1656c7b8069a
Joseph, Phillip
9c30491e-8464-4c9a-8723-2abc62bdf75d
Gao, Yan
e46455ac-b265-4982-b2f5-4024d386504e
Paschoalini, A.T.
bfa1fed9-f566-4380-807a-2c53e01b6627

Almeida, Fabrício, Brennan, M.J., Joseph, Phillip, Gao, Yan and Paschoalini, A.T. (2017) The effects of resonances on time delay estimation for water leak detection in plastic pipes. Journal of Sound and Vibration, 411. (doi:10.1016/j.jsv.2017.06.025).

Record type: Article

Abstract

In many water distribution systems, metallic pipes are being replaced by plastic pipes due to their deterioration and age. Although acoustic methods are effective in finding leaks in metallic pipes, they have been found to be problematic with plastic pipes due to the high damping within the pipe-wall. In acoustic correlation methods, sensors are placed either side of a suspected leak, and the peak in the crosscorrelation function of the measured signals gives the time difference(delay) between the arrival times of the leak noise at the sensors. To convert the time delay into a distance, the speed at which the leak noise propagates along the pipe (wave-speed) needs to be known. It has been found the structural dynamics of the system can corrupt time delay estimates. In this paper, data from test-rigs in the United Kingdom and Canada are used to demonstrate the problems encountered, and a model is developed to further investigate which of two commonly used correlation algorithms are more robust to the presence of resonances in buried pipe systems. It is found that this is highly sensitive to the bandwidth over which the analysis is conducted. Moreover it is further found the Phase Transform (PHAT), which is frequently used for leak noise detection, is particularly sensitive to the presence of resonances, whereas the basic cross-correlation (BCC) function is found to be more robust.

Text
JSV-S-17-00012 (2) - Accepted Manuscript
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More information

Accepted/In Press date: 19 June 2017
e-pub ahead of print date: 20 November 2017
Keywords: leak detection, water pipes, resonance, cross-correlation, time delay estimation

Identifiers

Local EPrints ID: 416746
URI: http://eprints.soton.ac.uk/id/eprint/416746
ISSN: 0022-460X
PURE UUID: c0d0fa46-76f0-4dff-907f-5216dc0fab45

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Date deposited: 08 Jan 2018 17:30
Last modified: 16 Mar 2024 06:04

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Contributors

Author: Fabrício Almeida
Author: M.J. Brennan
Author: Phillip Joseph
Author: Yan Gao
Author: A.T. Paschoalini

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