The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Cross-spectral phase method for time delay estimation in acoustic leak detection
Open accessAbstract
In this paper, a method based on linear segmentation of the cross-spectral phase is proposed for estimating time delays between acoustic/vibration leak signals measured in water distribution systems. The method determines the time delay via linear regression of the cross-spectral phase while excluding non-linearities introduced by noise. A simple and fast approach is developed for automatically detecting linear segments in the cross-spectral phase. Experimental results demonstrate the capability of the method to accurately estimate time delays without first filtering the signals even in the presence of multiplicative noise that distorts the cross-spectral phase, in contrast with generalised cross-correlation and generalised phase spectrum methods. The proposed method provides a confidence interval that indicates the region where the leak is likely to be located, thereby improving the reliability of leak localisation.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Hahn, G. J., Draper, N. R., & Smith, H. C. (1982) · Technometrics · doi:10.2307/1267833 · Cited by 5,820
The generalized correlation method for estimation of time delay
Knapp, C., & Carter, G. (1976) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/tassp.1976.1162830 · Cited by 4,433 · cited 1×
“Examples of such time delay estimation (TDE) methods include basic cross-correlation (BCC), generalised cross-correlation (GCC) [11], and wavelet-based methods [12,13].”
A Cluster Analysis Method for Grouping Means in the Analysis of Variance
Scott, A. J., & Knott, M. J. (1974) · Biometrics · doi:10.2307/2529204 · Cited by 2,802
Bendat, J. S., & Piersol, A. G. (2010) · Wiley series in probability and statistics · doi:10.1002/9781118032428 · Cited by 1,281
Adegboye, M. A., Fung, W.-K., & Karnik, A. U. (2019) · Sensors · doi:10.3390/s19112548 · Cited by 493
Methods for Estimation of Subsample Time Delays of Digitized Echo Signals
Céspedes, I., Huang, Y., Ophir, J., & Spratt, S. (1995) · Ultrasonic Imaging · doi:10.1177/016173469501700204 · Cited by 436 · cited 2×
“Another key advantage is its provision of confidence limits for leak location, enhancing reliability compared to methods that only provide a single estimate without uncertainty quantification.”
Quantifying the global non-revenue water problem
Liemberger, R., & Wyatt, A. (2018) · Water Science & Technology Water Supply · doi:10.2166/ws.2018.129 · Cited by 368
Elementary Statistics: A Step by Step Approach
Sartori, D., & Bluman, A. G. (1994) · Technometrics · doi:10.1080/00401706.1994.10485859 · Cited by 327
Time delay estimation using phase data
Piersol, A. G. (1981) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/tassp.1981.1163555 · Cited by 236
The Spectral Analysis of Time Series
Percival, D. B., & Koopmans, L. H. (1998) · Technometrics · doi:10.2307/1270543 · Cited by 218
Flagged first, then by citations
Research works printed but not linked: 1
- Zhao, 1984, The generalised phase spectrum method for time delay estimation, Proc IEEE Conf Acoust Speech Signal Process, 3, 1
Cited by
Sorted by citations
Cepstral method for time delay estimation in acoustic leak detection
Uchendu, N., Muggleton, J. M., & White, P. R. (2025) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2025.113448 · Cited by 6
Self-citationChang, C., Li, X., Ju, H., Wang, G., & Duanmu, L. (2026) · Measurement · doi:10.1016/j.measurement.2026.120603
Leak Localization in Pressurized Pipelines Using Distributed Acoustic Sensing
Zhao, Y., Liu, Q., Liu, D., Wang, Y., Yao, S., & Wu, Q. (2026) · International Conference on Smart City and Information System (ICSCIS) · doi:10.1109/icscis69190.2026.11453488
Physics-guided U-Net for pipeline leak noise inversion and localization
Xu, Z., Liu, H., Zayed, T. M., Xiao, R., Liu, R., Zheng, R., & Zeng, Y. (2026) · Automation in Construction · doi:10.1016/j.autcon.2026.107039
Adaptive Subband Downsampling for Leak Noise Extraction in Water Distribution Networks
Zhang, Y., Guo, J., An, L., Yang, H., Yan, W., & Liu, B. (2026) · Journal of Pipeline Systems Engineering and Practice · doi:10.1061/jpsea2.pseng-2141
Metadata
- Authors
- Uchendu, N., Muggleton, J. M., & White, P. R.
- Affiliations
- University of Southampton (GB)
- Corresponding author
- Uchendu, Ndubuisi
- Venue
- Applied Acoustics
- Publisher
- Elsevier BV
- Published
- 2025-05
- Volume
- 235
- Pages
- 110695
- ISSN
- 0003-682X (ISSN-L)
- OpenAlex
- W4408847706
- Cited by
- 8
- References
- 25
- Citations by year
- 2026: 7 · 2025: 1
- FWCI
- 2.91
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Applied Acoustics (publishedVersion, cc-by)
- SSRN Electronic Journal (acceptedVersion)
- ePrints Soton (University of Southampton) (acceptedVersion)
- Funders
- Petroleum Technology Development Fund
- Topics
- Physical Sciences › Engineering › Civil and Structural Engineering › Water Systems and Optimization
- Physical Sciences › Computer Science › Signal Processing › Advanced Adaptive Filtering Techniques
- Physical Sciences › Engineering › Mechanics of Materials › Ultrasonics and Acoustic Wave Propagation
- Keywords
- time delay estimation, acoustic leak detection, water distribution systems, leak localization, multiplicative noise, resonance, linear regression, divide-and-conquer, confidence intervals, vibration signals
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
