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espanolEste articulo se centra en la elaboracion de una serie de modelos estaticos lineales que relacionan los datos de un conjunto de sensores de presion con un subconjunto de ellos que denominaremos base. Gracias a estos modelos se pueden detectar comportamientos anomalos en el funcionamiento de dichos sensores mediante la comparacion de los datos reales con los estimados. Para la deteccion de anomalias en la base se empleara otro subconjunto secundario para su chequeo que denominaremos base secundaria. Como caso de estudio se han utilizado datos almacenados de los sensores de presion de una seccion de la red de suministro de aguas de la ciudad de Madrid. EnglishThis paper is focused on the design of a set of static and linear models which relate the data of a subset of pressure sensors in a drinking water network with the rest of them. This subset of sensors is called principal base. Thanks to these models wrong behaviours in these devices can be detected comparing real data from sensors with estimated data obtained from these models. In case of fault in a sensor beloning to the principal base, we propose the use of another base, different from the previous one, called secondary base. This second set is needed to detect anomalies in the first one. The proposed methodology was applied to a section of the water drinking network of the city of Madrid

Detección de fallos en redes de presión pertenecientes a redes de suministro de agua mediante filtros estáticos lineales basados en PCA