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公开(公告)号：US20230184620A1
公开(公告)日：2023-06-15
申请号：US18012692
申请日：2021-07-15
Applicant: VEOLIA ENVIRONNEMENT
Inventor： Yves-Marie BATANY , Damien CHENU , Nicolas ROUX
CPC classification number: G01M3/243 , G01M3/2807 , G06N20/00
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.
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