Clustering-Learning Approach to the Localization of Leaks in Water Distribution Networks-Reference-Cited by-同舟云学术

Clustering-Learning Approach to the Localization of Leaks in Water Distribution Networks

Published:2022-04 Issue:4 Volume:148 Page:
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Romero Luis¹^ORCID,Blesa Joaquim²^ORCID,Puig Vicenç³,Cembrano Gabriela⁴^ORCID

Affiliation:

1. Institut de Robòtica i Informàtica Industrial (CSIC-UPC), Carrer Llorens Artigas, 4-6, 08028 Barcelona, Spain (corresponding author). ORCID: .

2. Institut de Robòtica i Informàtica Industrial (CSIC-UPC), Carrer Llorens Artigas, 4-6, 08028 Barcelona, Spain; Supervision, Safety and Automatic Control Research Center (CS2AC) of the Universitat Politécnica de Catalunya, Campus de Terrassa, Gaia Bldg., Rambla Sant Nebridi, 22, 08222 Terrassa, Barcelona, Spain. ORCID: .

3. Professor, Institut de Robòtica i Informàtica Industrial (CSIC-UPC), Carrer Llorens Artigas, 4-6, 08028 Barcelona, Spain; Supervision, Safety and Automatic Control Research Center (CS2AC) of the Universitat Politécnica de Catalunya, Campus de Terrassa, Gaia Bldg., Rambla Sant Nebridi, 22, 08222 Terrassa, Barcelona, Spain.

4. Institut de Robòtica i Informàtica Industrial (CSIC-UPC), Carrer Llorens Artigas, 4-6, 08028 Barcelona, Spain. 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

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29WR.1943-5452.0001527

Reference33 articles.

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2. A novel data-driven leak detection and localization algorithm using the Kantorovich distance

3. Bishop, C. 2006. “Pattern recognition and machine learning.” In Probability distributions—The exponential family. New York: Springer.

4. Modelling uncertainty for leak localization in Water Networks

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

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