Cross-spectral phase method for time delay estimation in acoustic leak detection

This paper introduces a method for estimating time delays in acoustic/vibration leak signals within water distribution systems, using linear segmentation of the cross-spectral phase. The method applies linear regression to undistorted regions of the phase, automatically identified by a simple algorithm, to calculate the time delay. Simulation and experimental results demonstrate that the method accurately estimates time delays without the need for pre-filtering, even in the presence of multiplicative noise that distorts the cross-spectral phase—offering a significant improvement over correlation-based techniques. Furthermore, the method provides a confidence interval that quantifies the uncertainty in the estimated leak location, thereby enhancing the reliability of leak localisation. • Multiplicative noise such as resonance introduces additional shifts in the cross-spectral phase of leak signals. • Phase shifts reduce the accuracy of the time delay estimate. • Accurate time delay estimates are given by the slope of linear sections of the cross-spectral phase. • Linear segments are identified in the cross-spectral phase using a simple divide-and-conquer algorithm. • A confidence interval is used to quantify the uncertainty in the leak location.

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Publication Details

Journal
Applied Acoustics
Published
2025-03-26
DOI
https://doi.org/10.1016/j.apacoust.2025.110695
Citations
2
Primary Topic
Water Systems and Optimization
Type
article
Field-Weighted Citation Impact
1.91
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article

Cross-spectral phase method for time delay estimation in acoustic leak detection

J.M. Muggleton, Ndubuisi Uchendu, Paul White
2 citations
Applied Acoustics
Water Systems and Optimization
1.91
article

Cross-spectral phase method for time delay estimation in acoustic leak detection

J.M. Muggleton, Ndubuisi Uchendu, Paul White
article en
2 citations

Abstract

This paper introduces a method for estimating time delays in acoustic/vibration leak signals within water distribution systems, using linear segmentation of the cross-spectral phase. The method applies linear regression to undistorted regions of the phase, automatically identified by a simple algorithm, to calculate the time delay. Simulation and experimental results demonstrate that the method accurately estimates time delays without the need for pre-filtering, even in the presence of multiplicative noise that distorts the cross-spectral phase—offering a significant improvement over correlation-based techniques. Furthermore, the method provides a confidence interval that quantifies the uncertainty in the estimated leak location, thereby enhancing the reliability of leak localisation. • Multiplicative noise such as resonance introduces additional shifts in the cross-spectral phase of leak signals. • Phase shifts reduce the accuracy of the time delay estimate. • Accurate time delay estimates are given by the slope of linear sections of the cross-spectral phase. • Linear segments are identified in the cross-spectral phase using a simple divide-and-conquer algorithm. • A confidence interval is used to quantify the uncertainty in the leak location.

Applied AcousticsVol. 235
University of Southampton (GB)
Openalex Percentile: Top 17%
Water Systems and Optimization
1.91
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