KIOS-Research / LeakDB

LeakDB (Leakage Diagnosis Benchmark) is a realistic leakage dataset for water distribution networks. The dataset is comprised of a large number of artificially created but realistic leakage scenarios, on different water distribution networks, under varying conditions. A scoring algorithm in MATLAB code is provided to evaluate the results of different algorithms.

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LeakDB

LeakDB (Leakage Diagnosis Benchmark) is a realistic leakage dataset for water distribution networks. The dataset is comprised of a large number of artificially created but realistic leakage scenarios, on different water distribution networks, under varying conditions. A scoring algorithm in MATLAB code is provided to evaluate the results of different algorithms.

How to run a use example of the dataset

Download the folder LeakDB, set the run path in Matlab to CCWI-WDSA2018, and run main.m. This provides a user interface in Matlab where the user can run and evaluate the provided leakage detection algorithms on a limited number of scenarios on the Hanoi benchmark network.

Download the complete dataset

The LeakDB dataset is currently being expanded, as more networks, detection algorithms and features are added. The complete dataset is provided: DATASET

Cite as:

Vrachimis, S. G., Kyriakou, M. S., Eliades, D. G. and Polycarpou, M. M. (2018). LeakDB : A benchmark dataset for leakage diagnosis in water distribution networks. In Proc. of WDSA / CCWI Joint Conference (Vol. 1).

About

LeakDB (Leakage Diagnosis Benchmark) is a realistic leakage dataset for water distribution networks. The dataset is comprised of a large number of artificially created but realistic leakage scenarios, on different water distribution networks, under varying conditions. A scoring algorithm in MATLAB code is provided to evaluate the results of different algorithms.


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Language:Python 76.6%Language:MATLAB 23.4%