Integrated Sensor Placement and Leak Localization Using Geospatial Genetic Algorithms

Author:

Boatwright Shaun1,Mounce Stephen2ORCID,Romano Michele3,Boxall Joby4ORCID

Affiliation:

1. Dept. of Civil and Structural Engineering, Univ. of Sheffield, Sheffield, S1 3JD, UK.

2. Dept. of Civil and Structural Engineering, Univ. of Sheffield, Sheffield, S1 3JD, UK (corresponding author). ORCID: .

3. Data and Analytics Team, United Utilities Water Limited, Warrington, WA5 3LP, UK.

4. Professor, Dept. of Civil and Structural Engineering, Univ. of Sheffield, Sheffield, S1 3JD, UK. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Reference40 articles.

1. Robust sensor placement for leak location: analysis and design

2. Boatwright S. 2020. “Integrated optimal pressure sensor placement and localisation of leak/burst events using interpolation and a genetic algorithm.” Doctoral dissertation Dept. of Civil and Structural Engineering Univ. of Sheffield.

3. Boatwright S. M. Romano S. R. Mounce K. Woodward and J. B. Boxall. 2016. “Approximate location of leaks and bursts in a district metered area using statistical process control and geostatistical techniques.” In Proc. 14th Int. Computing and Control for the Water Industry Conf. Sheffield UK: Univ. of Sheffield.

4. Model-based leak detection and location in water distribution networks considering an extended-horizon analysis of pressure sensitivities

5. Optimal Sensor Placement for Leak Location in Water Distribution Networks using Evolutionary Algorithms

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