Feature extraction in pressure signals for leak detection in water networks

• Autor(a) principal: Gamboa-Medina, Maria Mercedes
• Data de Publicação: 2014
• Outros Autores: Reis, Luisa Fernanda Ribeiro, Guido, Rodrigo Capobianco [UNESP]
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://www.sciencedirect.com/science/article/pii/S1877705814000770; http://hdl.handle.net/11449/122478
• topic: Leakage detection; feature extraction; signals analysis; water supply system

Techniques 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.