Gamboa-Medina, Maria MercedesReis, Luisa Fernanda RibeiroGuido, Rodrigo Capobianco [UNESP]2015-04-272015-04-272014Procedia Engineering, v. 70, p. 688-697, 2014.1877-7058http://hdl.handle.net/11449/122478Techniques based on signal analysis for leak detection in water supply systems typically use long pressure and/or flow data series of variable length. This paper presents the feature extraction from pressure signals and their application to the identification of changes related to the onset of a leak. Example signals were acquired from an experimental laboratory circuit, and features were extracted from temporal domain and from transformed signals. Statistical analysis of features values and a classification method were applied. It was verified the feasibility of using feature vectors for distinguish data acquired in the absence or presence of a leak.688-697engLeakage detectionfeature extractionsignals analysiswater supply systemArtigo10.1016/j.proeng.2014.02.075Acesso abertoISSN1877-7058-2014-70-688-697.pdf65420862268080670000-0002-0924-8024