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Data in Brief

, том 48 , страницы 109148

Benchmarking Dataset for Leak Detection and Localization in Water Distribution Systems

Тип публикации: Journal Article

Дата публикации: 2023-06-01

Elsevier

Data in Brief

SCImago Q1

WOS Q3

БС2

SJR: 0.606

CiteScore: 2.6

Impact factor: 1.4

ISSN: 23523409

DOI: 10.1016/j.dib.2023.109148

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PubMed ID: 37128586

Multidisciplinary

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This paper presents a dataset with two hundred and eighty sensory measurements for leak detection and localization in water distribution systems. The data were generated via a laboratory-scale water distribution system that included (1) three types of sensors: accelerometer, hydrophone, and dynamic pressure sensor; (2) four leak types: orifice leak, longitudinal and circumferential cracks, gasket leak, and no-leak condition; (3) two network topologies: looped and branched; and (4) six background conditions with different noise and demand variations. Each measurement was 30 s long, and the measurement frequencies were 51.2 kHz for the accelerometer and dynamic pressure sensors, and 8 kHz for the hydrophone. This is the first publicly available dataset for advancing leak detection and localization research, model validation, and generating new data for faulty sensor detection in water distribution systems.

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Aghashahi M., Sela L., Banks M. K. Benchmarking Dataset for Leak Detection and Localization in Water Distribution Systems // Data in Brief. 2023. Vol. 48. p. 109148.

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Aghashahi M., Sela L., Banks M. K. Benchmarking Dataset for Leak Detection and Localization in Water Distribution Systems // Data in Brief. 2023. Vol. 48. p. 109148.

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TY - JOUR

DO - 10.1016/j.dib.2023.109148

UR - https://doi.org/10.1016/j.dib.2023.109148

TI - Benchmarking Dataset for Leak Detection and Localization in Water Distribution Systems

T2 - Data in Brief

AU - Aghashahi, Mohsen

AU - Sela, Lina

AU - Banks, M. Katherine

PY - 2023

DA - 2023/06/01

PB - Elsevier

SP - 109148

VL - 48

PMID - 37128586

SN - 2352-3409

ER -

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@article{2023_Aghashahi,

author = {Mohsen Aghashahi and Lina Sela and M. Katherine Banks},

title = {Benchmarking Dataset for Leak Detection and Localization in Water Distribution Systems},

journal = {Data in Brief},

year = {2023},

volume = {48},

publisher = {Elsevier},

month = {jun},

url = {https://doi.org/10.1016/j.dib.2023.109148},

pages = {109148},

doi = {10.1016/j.dib.2023.109148}

}

Издатель

Elsevier

Журнал

Data in Brief

SCImago Q1

WOS Q3

БС2

SJR

0.606

CiteScore

2.6

Impact factor

1.4

ISSN

23523409 (Print)

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