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Authors: Valerie Vaquet ; Fabian Hinder and Barbara Hammer

Affiliation: Machine Learning Group, Bielefeld University, Germany

Keyword(s): Concept Drift Detection, Water Distribution Networks, Anomaly Detection, Leakage Detection.

Abstract: Leakages are a major risk in water distribution networks as they cause water loss and increase contamination risks. Leakage detection is a difficult task due to the complex dynamics of water distribution networks. In particular, small leakages are hard to detect. From a machine-learning perspective, leakages can be modeled as concept drift. Thus, a wide variety of drift detection schemes seems to be a suitable choice for detecting leakages. In this work, we explore the potential of model-loss-based and distribution-based drift detection methods to tackle leakage detection. We additionally discuss the issue of temporal dependencies in the data and propose a way to cope with it when applying distribution-based detection. We evaluate different methods systematically for leakages of different sizes and detection times. Additionally, we propose a first drift-detection-based technique for localizing leakages.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Vaquet, V.; Hinder, F. and Hammer, B. (2024). Investigating the Suitability of Concept Drift Detection for Detecting Leakages in Water Distribution Networks. In Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-684-2; ISSN 2184-4313, SciTePress, pages 296-303. DOI: 10.5220/0012361200003654

@conference{icpram24,
author={Valerie Vaquet. and Fabian Hinder. and Barbara Hammer.},
title={Investigating the Suitability of Concept Drift Detection for Detecting Leakages in Water Distribution Networks},
booktitle={Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2024},
pages={296-303},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012361200003654},
isbn={978-989-758-684-2},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Investigating the Suitability of Concept Drift Detection for Detecting Leakages in Water Distribution Networks
SN - 978-989-758-684-2
IS - 2184-4313
AU - Vaquet, V.
AU - Hinder, F.
AU - Hammer, B.
PY - 2024
SP - 296
EP - 303
DO - 10.5220/0012361200003654
PB - SciTePress

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