Experimental investigation into techniques to predict leak s…

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28
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37
Refs
2018
Year
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Work Details
  • DOI 10.2166/hydro.2018.117
  • OpenAlex ID W2796199216
  • Type Article
  • Language EN
  • Published 02 Apr 2018
  • Volume 20 (4)
  • Pages 815–828
  • Source Journal of Hydroinformatics
  • Publisher IWA Publishing
  • FWCI 3.14
  • Countries 2
  • Institutions 3
  • Added 10 Oct 2025
  • Updated 16 Oct 2026
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Experimental investigation into techniques to predict leak shapes in water distribution systems using vibration measurements

Article 2018 EN Hybrid

Abstract Water loss from leaking pipes represents a substantial loss of revenue as well as environmental and public health concerns. Leak location is normally identified by placing sensors either side of the leak and recording and analysing the leak noise. The leak noise contains information about the leak's characteristics, including its shape. Whilst a tool which non-invasively provides informat…

28

Citations

37

References

5

Authors

3.14

FWCI

Citations by Year
Last 8 years
Topics
Keywords
UN Sustainable Development Goals
2 SDGs
Authors & Affiliations
5 authors
#AuthorInstitutionsORCID
1 Joseph D. Butterfield Corresponding University of Sheffield (GB) —
2 Gregory Meyers University of Exeter (GB)
3 Viviana Meruane University of Chile (CL)
4 Richard Collins University of Sheffield (GB)
5 Stephen B. M. Beck University of Sheffield (GB)

Data: OpenAlex