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Updated: Jul 31, 2025

Design and Construction of an Urban Runoff Research Facility
Published on: August 8, 2014
Benchmarking dataset for leak detection and localization in water distribution systems
Mohsen Aghashahi1, Lina Sela2, M Katherine Banks3
1Texas A&M Institute of Data Science, Texas A&M University, 155 Ireland Street, College Station, TX 77843, USA.
Abstract:
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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