2024-03-19T04:47:49Zhttps://repositori.uji.es/oai/requestoai:repositori.uji.es:10234/656542023-09-20T07:27:58Zcom_10234_7035com_10234_9col_10234_8617
Repositori UJI
author
Palau, C. V.
author
Arregui, F. J.
author
CARLOS, MAR
2013-06-03T11:22:54Z
2013-06-03T11:22:54Z
2012
0733-0504
http://hdl.handle.net/10234/65654
http://dx.doi.org/10.1061/(ASCE)WR.1943-5452.0000147
The following work presents a multivariate statistical technique applied to the control of water inflows into district metering areas (DMA) of urban networks. This technique, called Principal Component Analysis (PCA), allows for a sensitive and quick analysis of the inflows into a DMA without hassling mathematical algorithms. PCA technique simplifies the original set of flow rate data recorded by the SCADA system, synthesizing the most significant information into a statistical model which is able to explain most of the behaviour of the water distribution network. PCA technique also allows for the establishment of control charts that help system operators in the identification of anomalous behaviours regarding water use, bursts or illegal connections. The described technique has been proved to offer high detection sensitivity to bursts or other unexpected consumptions.
eng
burst detection
principal component analysis
water distribution systems
real loss reduction
Burst Detection in Water Networks Using Principal Component Analysis
info:eu-repo/semantics/article
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URL
https://repositori.uji.es/xmlui/bitstream/10234/65654/1/48175.pdf
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48175.pdf.txt