Leakage detection and localization in water distribution systems: A model invalidation approach

Model-based methodologies can assist in addressing the challenging problem of leakage detection and localization water distribution systems. However, this is not trivial due to inherent non-linearities parametric uncertainties. Most importantly, small number available sensor measurements compared system states, inverse for estimating leakages highly under-determined. In work, utilization a priori information about proposed formulate hydraulic model its non-linear form which uncertainties are modeled by intervals defined lower upper bound. A novel optimization-based methodology then utilizes pressure flow perform through model-invalidation. modification optimization algorithm activated case refine possible leak locations retain only ones that be explained interval from multiple time-steps. The demonstrated on benchmark network evaluated using diagnosis dataset.