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Leak localization in drinking water distribution networks using structured residuals Rosich, Albert Puig Cayuela, Vicenç Casillas, Myrna V. Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Desenvolupament humà::Aigua i sanejament Water-supply -- Automatic control fault detection and isolation residual generation water distribution networks Aigua -- Abastament -- Control automàtic In this paper, a new model-based approach to leakage localization in drinking water distribution networks is proposed. In particular, a method for generating a set of structured residuals for water distribution networks systems is presented. Non-linear static equations are typically used in the modeling of such systems. Unfortunately, these non-linearities prevent explicit solutions and thus the subsequent analytical expressions of the residuals are not feasible. For this reason, the residual computation procedure presented here uses a numerical solver based on an enhanced Newton-Raphson algorithm. Moreover, because the water distribution networks usually present a high degree of interconnection between nodes, good leak isolability properties can easily be obtained by applying the proposed residual generation method. Nevertheless, not fully leak detection and isolation can always be achieved, thus a methodology for the analysis of leak diagnosis is also presented in this paper. To show the applicability and the potential of the proposed approach, the structured residual generators are tested on a real water network model and compared with another existing method based on directional residuals. Finally, the results of the two methods are combined in order to obtain the best of both methods. Postprint (author's final draft) 2015-08-01 Article Rosich, A., Puig, V., Casillas, M. Leak localization in drinking water distribution networks using structured residuals. "International journal of adaptive control and signal processing", 01 Agost 2015, vol. 29, núm. 8, p. 991-1007. 0890-6327 https://hdl.handle.net/2117/83807 10.1002/acs.2515 eng Open Access 17 p. application/pdf