加压供水管道的高分辨率成像

IF 7.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL Mechanical Systems and Signal Processing Pub Date : 2025-02-19 DOI:10.1016/j.ymssp.2025.112455
Saber Nasraoui , Moez Louati , Mohamed Salah Ghidaoui
{"title":"加压供水管道的高分辨率成像","authors":"Saber Nasraoui ,&nbsp;Moez Louati ,&nbsp;Mohamed Salah Ghidaoui","doi":"10.1016/j.ymssp.2025.112455","DOIUrl":null,"url":null,"abstract":"<div><div>This paper proposes a computationally efficient, nondestructive, and medium range guided wave imaging of pressurized water supply lines based on the time reversal (TR) technique. A send-receive transducer is inserted in the water column from a single access point and used to measure multi–input–multi–output (MIMO) pressure wave signals that propagate along the waveguide. The resulting high frequency (10 kHz-100 kHz) signals are processed by the TR-MUltiple SIgnal Classification (TR-MUSIC) algorithm to provide high-resolution images the water pipe system. The resulting images reveal the pipe wall inner and outer condition with millimeter resolution. The proposed technique is tested and validated in lab as well as in field scale facilities on pressurized water-filled viscoelastic high-density polyethylene (HDPE) pipes. In particular, we successfully imaged (i) a straight 6.5 m long, water-filled 90 mm HDPE lab pipe containing a small blockage with thickness 7.65 mm and a length 97 mm and (ii) a 36.5 m long section water-filled 160 mm HDPE pipe containing three T-connections and a small blockage with thickness 16 mm and length 95 mm.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"228 ","pages":"Article 112455"},"PeriodicalIF":7.9000,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"High resolution imaging of pressurised water supply lines\",\"authors\":\"Saber Nasraoui ,&nbsp;Moez Louati ,&nbsp;Mohamed Salah Ghidaoui\",\"doi\":\"10.1016/j.ymssp.2025.112455\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper proposes a computationally efficient, nondestructive, and medium range guided wave imaging of pressurized water supply lines based on the time reversal (TR) technique. A send-receive transducer is inserted in the water column from a single access point and used to measure multi–input–multi–output (MIMO) pressure wave signals that propagate along the waveguide. The resulting high frequency (10 kHz-100 kHz) signals are processed by the TR-MUltiple SIgnal Classification (TR-MUSIC) algorithm to provide high-resolution images the water pipe system. The resulting images reveal the pipe wall inner and outer condition with millimeter resolution. The proposed technique is tested and validated in lab as well as in field scale facilities on pressurized water-filled viscoelastic high-density polyethylene (HDPE) pipes. In particular, we successfully imaged (i) a straight 6.5 m long, water-filled 90 mm HDPE lab pipe containing a small blockage with thickness 7.65 mm and a length 97 mm and (ii) a 36.5 m long section water-filled 160 mm HDPE pipe containing three T-connections and a small blockage with thickness 16 mm and length 95 mm.</div></div>\",\"PeriodicalId\":51124,\"journal\":{\"name\":\"Mechanical Systems and Signal Processing\",\"volume\":\"228 \",\"pages\":\"Article 112455\"},\"PeriodicalIF\":7.9000,\"publicationDate\":\"2025-02-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mechanical Systems and Signal Processing\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0888327025001566\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MECHANICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mechanical Systems and Signal Processing","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0888327025001566","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
High resolution imaging of pressurised water supply lines
This paper proposes a computationally efficient, nondestructive, and medium range guided wave imaging of pressurized water supply lines based on the time reversal (TR) technique. A send-receive transducer is inserted in the water column from a single access point and used to measure multi–input–multi–output (MIMO) pressure wave signals that propagate along the waveguide. The resulting high frequency (10 kHz-100 kHz) signals are processed by the TR-MUltiple SIgnal Classification (TR-MUSIC) algorithm to provide high-resolution images the water pipe system. The resulting images reveal the pipe wall inner and outer condition with millimeter resolution. The proposed technique is tested and validated in lab as well as in field scale facilities on pressurized water-filled viscoelastic high-density polyethylene (HDPE) pipes. In particular, we successfully imaged (i) a straight 6.5 m long, water-filled 90 mm HDPE lab pipe containing a small blockage with thickness 7.65 mm and a length 97 mm and (ii) a 36.5 m long section water-filled 160 mm HDPE pipe containing three T-connections and a small blockage with thickness 16 mm and length 95 mm.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Mechanical Systems and Signal Processing
Mechanical Systems and Signal Processing 工程技术-工程:机械
CiteScore
14.80
自引率
13.10%
发文量
1183
审稿时长
5.4 months
期刊介绍: Journal Name: Mechanical Systems and Signal Processing (MSSP) Interdisciplinary Focus: Mechanical, Aerospace, and Civil Engineering Purpose:Reporting scientific advancements of the highest quality Arising from new techniques in sensing, instrumentation, signal processing, modelling, and control of dynamic systems
期刊最新文献
Tool wear state recognition study based on an MTF and a vision transformer with a Kolmogorov-Arnold network Main shaft instantaneous azimuth estimation for wind turbines Refined sticking monitoring of drilling tool for drilling rig in underground coal mine: From mechanism analysis to data mining Active motion control of platform and rotor coupling system for floating offshore wind turbines In-process analysis of the dynamic deformation of a bionic lightweight gear
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1