LeakDB : A benchmark dataset for leakage diagnosis in water distribution networks

Stelios G. Vrachimis, Marios S. Kyriakou, Demetrios G. Eliades & Marios M. Polycarpou
The increase of streaming data from water utilities is enabling the development of real-time anomaly and fault detection algorithms that can detect events, such as pipe bursts and leakages. Currently, there is not a widely accessible dataset of real or realistic leakage scenarios, which could be used as a common benchmark to compare different algorithms, as well as to support research reproducibility. In this work we propose the design of a realistic leakage dataset, the...
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