Abstract: Method for characterizing a leak in a fluid network, the fluid network including several interconnected areas, in which the fluid network is equipped with at least one flow rate sensor at the inlet of the fluid network and with at least one other hydraulic sensor, of the flow rate or pressure sensor type, configured to provide hydraulic behavior data (Qi, Pi), in which the fluid network is provided with a digital mapping comprising at least the geometry of the fluid network and the location of said hydraulic sensors, and in which a statistical learning model receives as input a set of hydraulic behavior data (Qi, Pi) and provides as output at least one leak characterization data among the leak area (Zf) and the leak flow rate (Qf).

Abstract: A method for characterizing a leak in a fluid network, making it possible to determine the type and/or the flow rate of a leak in a fluid network, in which the fluid network is equipped with a plurality of vibro-acoustic sensors configured to provide vibro-acoustic signals, and in which a statistical learning model receives as input at least one vibro-acoustic signal obtained directly or indirectly from at least one vibro-acoustic sensor and provides as output at least one leak characterization data among the leak type and the leak flow rate.