Detection of Anomalies in Water Networks by Functional Data Analysis
Joint Authors
Millán-Roures, Laura
Epifanio, Irene
Martínez, Vicente
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-21
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Millán-Roures, Laura& Epifanio, Irene& Martínez, Vicente. 2018. Detection of Anomalies in Water Networks by Functional Data Analysis. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1207817
Modern Language Association (MLA)
Millán-Roures, Laura…[et al.]. Detection of Anomalies in Water Networks by Functional Data Analysis. Mathematical Problems in Engineering No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1207817
American Medical Association (AMA)
Millán-Roures, Laura& Epifanio, Irene& Martínez, Vicente. Detection of Anomalies in Water Networks by Functional Data Analysis. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1207817
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1207817