Name
Abstract | ||
|---|---|---|
Undetected leaks in water distribution networks are a significant economic and environmental problem worldwide. Small leaks are hard to detect yet they contribute significantly to water losses. We propose a method to detect small leaks using a leak signature, called a lean graph, which is a sub-graph of the distribution network. Since it is not feasible to install flow sensors on every pipe, we utilize lean graphs to develop a sensor placement strategy that maximizes leak detection accuracy given a fixed number of sensors. Experimental results show the promising prospect of our approach. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3055366.3055372 | CySWATER@CPSWeek |
Field | DocType | Citations |
Graph,Leak,Distribution networks,Engineering,Graph partition,Distributed computing,Leak detection | Conference | 0 |
PageRank | References | Authors |
0.34 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ary Mazharuddin Shiddiqi | 1 | 0 | 0.34 |
| Rachel Cardell-Oliver | 2 | 271 | 33.25 |
| Amitava Datta | 3 | 734 | 81.63 |