Water Science & Technology · 2002 · 97 citations · 0 references
EngineeringComputer ScienceWater Resources ManagementMachine LearningTime Series AnalysisWater Resources EngineeringHydraulic ModelingLeak DetectionLeakage ControlWater Distribution SystemsWater Supply EngineeringWater Supply SystemsBurst DetectionDistribution System LeakageLeakage ManagementNeural Network ModelingNeural Network PredictionWater Distribution Network LeakageWater Leak DetectionWater Leakage Detection
This paper describes how hydraulic and water quality data from a distribution network may be used to provide a more efficient leakage management capability for the water industry. The research presented concerns the application of artificial neural networks to the issue of detection and location of leakage in treated water distribution systems. An architecture for an Artificial Neural Network (ANN) based system is outlined. The neural network uses time series data produced by sensors to directly construct an empirical model for predication and classification of leaks. Results are presented using data from an experimental site in Yorkshire Water's Keighley distribution system.