An unsupervised approach to leak detection and location in water distribution networks

DOI10.2478/amcs-2018-0020zbMath1403.90210OpenAlexW2884620028WikidataQ129499575 ScholiaQ129499575MaRDI QIDQ1784053

Marcos Quiñones-Grueiro, Cristina Verde, Alberto Prieto-Moreno, Orestes Llanes Santiago

Publication date: 26 September 2018

Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2478/amcs-2018-0020

zbMATH Keywords

principal component analysisdemand modelwater distribution networksleak locationunsupervised methods

Mathematics Subject Classification ID

Deterministic network models in operations research (90B10) Pattern recognition, speech recognition (68T10) Discrete location and assignment (90B80)

Uses Software

• EPANET

Cites Work

• Unnamed Item
• Fault isolability with different forms of the faults-symptoms relation
• Reconstruction-based contribution for process monitoring
• An interval estimator for chlorine monitoring in drinking water distribution systems under uncertain system dynamics, inputs and chlorine concentration measurement errors
• Cyclo-period estimation for discrete-time cyclo-stationary signals
• Data-driven models for fault detection using kernel PCA: A water distribution system case study
• Fault detection and diagnosis in industrial systems

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