Comparison of model-based techniques for pipe burst location in water distribution networks

Abstract

The current paper compares the performance of three model-based techniques for the automatic location of pipe burst events in water distribution networks. The first technique is based on nodal pressure sensitivities, the second solves an inverse analysis problem and the third technique uses hydraulic simulation to train a classifier. A real case study is used and a set of artificial measurements is generated for a number of pipe burst scenarios, with fixed burst location and variable pressure and flowrate noise levels and burst sizes. The performance of each technique is assessed based on the determined burst distance to the real burst location. Obtained results are discussed and the most relevant conclusions are drawn.