A Novel Leak Detection Approach in Water Distribution Networks

Radhia Fezai; Kais Bouzrara; Majdi Mansouri; Hazem Nounou; Mohamed Nounou; Vicenc Puig

doi:10.1109/SSD52085.2021.9429340

A Novel Leak Detection Approach in Water Distribution Networks

Radhia Fezai, Kais Bouzrara, Majdi Mansouri, Hazem Nounou, Mohamed Nounou, Vicenc Puig

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

This paper proposes a novel leak monitoring framework aims to improve the operation of water distribution network (WDN). To do that, an online statistical hypothesis test based leak detection is proposed. The main advantages of the developed method are first to deal with the higher required computational time for detecting leaks and then, to update the KPCA model according to the dynamic change of the process. Thus, this can be performed to massive and online datasets. Simulation results obtained from simulated WDN data demonstrate the effectiveness of the proposed technique.

Original language	English
Title of host publication	18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	607-612
Number of pages	6
ISBN (Electronic)	9781665414937
DOIs	https://doi.org/10.1109/SSD52085.2021.9429340
Publication status	Published - 22 Mar 2021
Externally published	Yes
Event	18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021 - Monastir, Tunisia Duration: 22 Mar 2021 → 25 Mar 2021

Publication series

Name	18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021

Conference

Conference	18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021
Country/Territory	Tunisia
City	Monastir
Period	22/03/21 → 25/03/21

Keywords

Leak detection
exponentially weighted moving average
kernel principal component analysis
online reduced kernel generalized likelihood ratio test
water distribution networks

Access to Document

10.1109/SSD52085.2021.9429340

Cite this

Fezai, R., Bouzrara, K., Mansouri, M., Nounou, H., Nounou, M., & Puig, V. (2021). A Novel Leak Detection Approach in Water Distribution Networks. In 18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021 (pp. 607-612). Article 9429340 (18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SSD52085.2021.9429340

@inproceedings{243659f69bcc4cbd92f9ae4d4d5c2b00,

title = "A Novel Leak Detection Approach in Water Distribution Networks",

abstract = "This paper proposes a novel leak monitoring framework aims to improve the operation of water distribution network (WDN). To do that, an online statistical hypothesis test based leak detection is proposed. The main advantages of the developed method are first to deal with the higher required computational time for detecting leaks and then, to update the KPCA model according to the dynamic change of the process. Thus, this can be performed to massive and online datasets. Simulation results obtained from simulated WDN data demonstrate the effectiveness of the proposed technique.",

keywords = "Leak detection, exponentially weighted moving average, kernel principal component analysis, online reduced kernel generalized likelihood ratio test, water distribution networks",

author = "Radhia Fezai and Kais Bouzrara and Majdi Mansouri and Hazem Nounou and Mohamed Nounou and Vicenc Puig",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021 ; Conference date: 22-03-2021 Through 25-03-2021",

year = "2021",

month = mar,

day = "22",

doi = "10.1109/SSD52085.2021.9429340",

language = "English",

series = "18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "607--612",

booktitle = "18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021",

address = "United States",

}

Fezai, R, Bouzrara, K, Mansouri, M, Nounou, H , Nounou, M & Puig, V 2021, A Novel Leak Detection Approach in Water Distribution Networks. in 18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021., 9429340, 18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021, Institute of Electrical and Electronics Engineers Inc., pp. 607-612, 18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021, Monastir, Tunisia, 22/03/21. https://doi.org/10.1109/SSD52085.2021.9429340

A Novel Leak Detection Approach in Water Distribution Networks. / Fezai, Radhia; Bouzrara, Kais; Mansouri, Majdi et al.
18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 607-612 9429340 (18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Novel Leak Detection Approach in Water Distribution Networks

AU - Fezai, Radhia

AU - Bouzrara, Kais

AU - Mansouri, Majdi

AU - Nounou, Hazem

AU - Nounou, Mohamed

AU - Puig, Vicenc

PY - 2021/3/22

Y1 - 2021/3/22

N2 - This paper proposes a novel leak monitoring framework aims to improve the operation of water distribution network (WDN). To do that, an online statistical hypothesis test based leak detection is proposed. The main advantages of the developed method are first to deal with the higher required computational time for detecting leaks and then, to update the KPCA model according to the dynamic change of the process. Thus, this can be performed to massive and online datasets. Simulation results obtained from simulated WDN data demonstrate the effectiveness of the proposed technique.

AB - This paper proposes a novel leak monitoring framework aims to improve the operation of water distribution network (WDN). To do that, an online statistical hypothesis test based leak detection is proposed. The main advantages of the developed method are first to deal with the higher required computational time for detecting leaks and then, to update the KPCA model according to the dynamic change of the process. Thus, this can be performed to massive and online datasets. Simulation results obtained from simulated WDN data demonstrate the effectiveness of the proposed technique.

KW - Leak detection

KW - exponentially weighted moving average

KW - kernel principal component analysis

KW - online reduced kernel generalized likelihood ratio test

KW - water distribution networks

UR - https://www.scopus.com/pages/publications/85107502267

U2 - 10.1109/SSD52085.2021.9429340

DO - 10.1109/SSD52085.2021.9429340

M3 - Conference contribution

AN - SCOPUS:85107502267

T3 - 18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021

SP - 607

EP - 612

BT - 18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021

Y2 - 22 March 2021 through 25 March 2021

ER -

Fezai R, Bouzrara K, Mansouri M, Nounou H , Nounou M, Puig V. A Novel Leak Detection Approach in Water Distribution Networks. In 18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 607-612. 9429340. (18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021). doi: 10.1109/SSD52085.2021.9429340

A Novel Leak Detection Approach in Water Distribution Networks

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Keywords

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