Nodal Hydraulic Head Estimation through Unscented Kalman Filter for Data-driven Leak Localization in Water Networks
Copyright policy )Nodal Hydraulic Head Estimation through Unscented Kalman Filter for Data-driven Leak Localization in Water Networks
In this paper, we present a nodal hydraulic head estimation methodology for water distribution networks (WDN) based on an Unscented Kalman Filter (UKF) scheme with application to leak localization. The UKF refines an initial estimation of the hydraulic state by considering the prediction model, as well as available pressure and demand measurements. To this end, it provides customized prediction and data assimilation steps. Additionally, the method is enhanced by dynamically updating the prediction function weight matrices. Performance testing on the Modena benchmark under realistic conditions demonstrates the method's effectiveness in enhancing state estimation and data-driven leak localization.
This work has been submitted to IFAC for possible publication. It has 6 pages and 3 figures
FOS: Computer and information sciences, Computer Science - Machine Learning, Water distribution system, Fault isolation, Systems and Control (eess.SY), Numerical Analysis (math.NA), Data fusion, Electrical Engineering and Systems Science - Systems and Control, Machine Learning (cs.LG), FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Àrees temàtiques de la UPC::Enginyeria mecànica::Mecànica de fluids::Transport de fluids, Mathematics - Numerical Analysis, State estimation, Unscented Kalman Filter
FOS: Computer and information sciences, Computer Science - Machine Learning, Water distribution system, Fault isolation, Systems and Control (eess.SY), Numerical Analysis (math.NA), Data fusion, Electrical Engineering and Systems Science - Systems and Control, Machine Learning (cs.LG), FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Àrees temàtiques de la UPC::Enginyeria mecànica::Mecànica de fluids::Transport de fluids, Mathematics - Numerical Analysis, State estimation, Unscented Kalman Filter
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