Water pipeline failure detection using distributed relative pressure and temperature measurements and anomaly detection algorithms

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@article{ed3afda94f494135bd87de8adca5d576,
title = "Water pipeline failure detection using distributed relative pressure and temperature measurements and anomaly detection algorithms",
abstract = "This paper presents the validation of a novel leak detection method for water distribution pipelines, although it could be applied to any buried pressurized fluid flow pipe. The detection method is based on a relative pressure sensor attached non-invasively to the outside of the pipe combined with temperature difference measurements between the pipe wall and the soil. Moreover, this paper proposes an anomaly detection algorithm, originally developed for monitoring website traffic data, which differentiates a {\textquoteleft}leak{\textquoteright} event from {\textquoteleft}normal{\textquoteright} pressure change events. It is compared to two more commonly used methods based on a fixed threshold and a moving average. The validation of the new system in a field trial over a 6-month period showed that all the known leaks were identified with 98.45% accuracy, with the anomaly detection algorithm performing best, making this system a real contender for leak detection in pipes.",
keywords = "wireless sensor networks, leak detection, leakage, remote sensing, monitoring, pipelines",
author = "Ali Sadeghioon and Nicole Metje and David Chapman and Carl Anthony",
year = "2018",
month = apr
day = "18",
doi = "10.1080/1573062X.2018.1424213",
language = "English",
journal = "Urban Water Journal",
issn = "1573-062X",
publisher = "Taylor & Francis",

}

RIS

TY - JOUR

T1 - Water pipeline failure detection using distributed relative pressure and temperature measurements and anomaly detection algorithms

AU - Sadeghioon, Ali

AU - Metje, Nicole

AU - Chapman, David

AU - Anthony, Carl

PY - 2018/4/18

Y1 - 2018/4/18

N2 - This paper presents the validation of a novel leak detection method for water distribution pipelines, although it could be applied to any buried pressurized fluid flow pipe. The detection method is based on a relative pressure sensor attached non-invasively to the outside of the pipe combined with temperature difference measurements between the pipe wall and the soil. Moreover, this paper proposes an anomaly detection algorithm, originally developed for monitoring website traffic data, which differentiates a ‘leak’ event from ‘normal’ pressure change events. It is compared to two more commonly used methods based on a fixed threshold and a moving average. The validation of the new system in a field trial over a 6-month period showed that all the known leaks were identified with 98.45% accuracy, with the anomaly detection algorithm performing best, making this system a real contender for leak detection in pipes.

AB - This paper presents the validation of a novel leak detection method for water distribution pipelines, although it could be applied to any buried pressurized fluid flow pipe. The detection method is based on a relative pressure sensor attached non-invasively to the outside of the pipe combined with temperature difference measurements between the pipe wall and the soil. Moreover, this paper proposes an anomaly detection algorithm, originally developed for monitoring website traffic data, which differentiates a ‘leak’ event from ‘normal’ pressure change events. It is compared to two more commonly used methods based on a fixed threshold and a moving average. The validation of the new system in a field trial over a 6-month period showed that all the known leaks were identified with 98.45% accuracy, with the anomaly detection algorithm performing best, making this system a real contender for leak detection in pipes.

KW - wireless sensor networks

KW - leak detection

KW - leakage

KW - remote sensing

KW - monitoring

KW - pipelines

U2 - 10.1080/1573062X.2018.1424213

DO - 10.1080/1573062X.2018.1424213

M3 - Article

JO - Urban Water Journal

JF - Urban Water Journal

SN - 1573-062X

ER -