Ndubuisi Uchendu, Jennifer M. Muggleton, Paul R. White
{"title":"Acoustic leak localisation based on multipath identification","authors":"Ndubuisi Uchendu, Jennifer M. Muggleton, Paul R. White","doi":"10.1016/j.jsv.2025.118970","DOIUrl":null,"url":null,"abstract":"<div><div>This paper proposes a method for estimating wave speed and locating leaks in water pipes using multipath identification techniques. The wave speed and leak location are determined simultaneously from the relative arrival times of reflections in acoustic leak signals. Two multipath identification techniques based on the autocorrelation function and power cepstrum are derived and analysed for identifying reflections. Results show that the power cepstral technique is more robust and accurate than the autocorrelation technique. Analysis of simulation and experimental data acquired on a leakage test rig demonstrates that the proposed method is effective for locating leaks, outperforming the commonly used cross-correlation method in some cases. A practical advantage of the proposed method is capability to locate leaks without a priori knowledge of the wave speed.</div></div>","PeriodicalId":17233,"journal":{"name":"Journal of Sound and Vibration","volume":"602 ","pages":"Article 118970"},"PeriodicalIF":4.3000,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Sound and Vibration","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0022460X25000446","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ACOUSTICS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper proposes a method for estimating wave speed and locating leaks in water pipes using multipath identification techniques. The wave speed and leak location are determined simultaneously from the relative arrival times of reflections in acoustic leak signals. Two multipath identification techniques based on the autocorrelation function and power cepstrum are derived and analysed for identifying reflections. Results show that the power cepstral technique is more robust and accurate than the autocorrelation technique. Analysis of simulation and experimental data acquired on a leakage test rig demonstrates that the proposed method is effective for locating leaks, outperforming the commonly used cross-correlation method in some cases. A practical advantage of the proposed method is capability to locate leaks without a priori knowledge of the wave speed.
期刊介绍:
The Journal of Sound and Vibration (JSV) is an independent journal devoted to the prompt publication of original papers, both theoretical and experimental, that provide new information on any aspect of sound or vibration. There is an emphasis on fundamental work that has potential for practical application.
JSV was founded and operates on the premise that the subject of sound and vibration requires a journal that publishes papers of a high technical standard across the various subdisciplines, thus facilitating awareness of techniques and discoveries in one area that may be applicable in others.