Detection of Anomalies in Water Networks by Functional Data Analysis
comunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7037
comunitat-uji-handle3:10234/8635
comunitat-uji-handle4:
INVESTIGACIONMetadades
Títol
Detection of Anomalies in Water Networks by Functional Data AnalysisData de publicació
2018Editor
Hindawi Publishing CorporationISSN
1024-123X; 1563-5147Cita bibliogràfica
Laura Millán-Roures, Irene Epifanio, and Vicente Martínez, “Detection of Anomalies in Water Networks by Functional Data Analysis,” Mathematical Problems in Engineering, vol. 2018, Article ID 5129735, 13 pages, 2018. https://doi.org/10.1155/2018/5129735.Tipus de document
info:eu-repo/semantics/articleVersió de l'editorial
https://www.hindawi.com/journals/mpe/2018/5129735/Versió
info:eu-repo/semantics/publishedVersionResum
A functional data analysis (FDA) based methodology for detecting anomalous flows in urban water networks is introduced. Primary hydraulic variables are recorded in real-time by telecontrol systems, so they are functional ... [+]
A functional data analysis (FDA) based methodology for detecting anomalous flows in urban water networks is introduced. Primary hydraulic variables are recorded in real-time by telecontrol systems, so they are functional data (FD). In the first stage, the data are validated (false data are detected) and reconstructed, since there could be not only false data, but also missing and noisy data. FDA tools are used such as tolerance bands for FD and smoothing for dense and sparse FD. In the second stage, functional outlier detection tools are used in two phases. In Phase I, the data are cleared of anomalies to ensure that data are representative of the in-control system. The objective of Phase II is system monitoring. A new functional outlier detection method is also proposed based on archetypal analysis. The methodology is applied and illustrated with real data. A simulated study is also carried out to assess the performance of the outlier detection techniques, including our proposal. The results are very promising. [-]
Publicat a
Mathematical Problems in Engineering Volume 2018Proyecto de investigación
DPI2017-87333-R ; UJI-B2017-13Drets d'accés
info:eu-repo/semantics/openAccess
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Except where otherwise noted, this item's license is described as Copyright © 2018 Laura Millan-Roures et al. Tis is an open access article distributed under the Creative Commons Attribution ´
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly
cited.