Leakage Localization in Water Distribution Networks: A Model-Based Approach
The paper studies the problem of leakage localization in water distribution networks. For the case of a single pipe that suffers from a single leak, by taking recourse to pressure and flow measurements, and assuming those are noiseless, we provide a closed-form expression for leak localization, leak exponent and leak constant. For the aforementioned setting, but with noisy pressure and flow measurements, an expression for estimating the location of the leak is provided. Finally, assuming the existence of a single leak, for a network comprising of more than one pipe and assuming that the network has a tree structure, we provide a systematic procedure for determining the leak location, the leak exponent, and the leak constant
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Leakage Localisation Using Cross Correlation for Wireless Three-Axis Vibration Sensors
The objective of this paper is to investigate the application of the cross-correlation technique in localizing the leakage in Acrylonitrile Butadiene Styrene (ABS) pipeline using wireless three-axis vibration sensors. Mo…
Localizing Anomalies in Critical Infrastructure using Model-Based Drift Explanations
Facing climate change, the already limited availability of drinking water will decrease in the future rendering drinking water an increasingly scarce resource. Considerable amounts of it are lost through leakages in wate…
Anomaly DetectionChallenges, Methods, Data -- a Survey of Machine Learning in Water Distribution Networks
Research on methods for planning and controlling water distribution networks gains increasing relevance as the availability of drinking water will decrease as a consequence of climate change. So far, the majority of appr…
Investigating the Suitability of Concept Drift Detection for Detecting Leakages in Water Distribution Networks
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 par…
Drift DetectionAlgorithm-Informed Graph Neural Networks for Leakage Detection and Localization in Water Distribution Networks
Detecting and localizing leakages is a significant challenge for the efficient and sustainable management of water distribution networks (WDN). Leveraging the inherent graph structure of WDNs, recent approaches have used…
Graph Neural Network