CREEM 2019

XXVI Congresso Nacional de Estudantes de Engenharia Mecânica

LEAK DETECTION USING VIBRATION-ACOUSTIC BASED TECHNIQUES: SIMULATION AND SIGNAL PROCESSING FOR PHYSICAL UNDERSTANDING

Submission Author: Sarah Carnevalli , SP
Co-Authors: Sarah Carnevalli, Fabricio Almeida
Presenter: Sarah Carnevalli

doi://10.26678/ABCM.CREEM2019.CRE2019-0262

 

Abstract

Water scarcity together with high distance between large urban centers and water resources areas are the main factors for water treatment companies to be under pressure to reduce actual network losses. One way to reduce such water loss via leakage is by using vibration-acoustic based techniques aiding in leak detection and location. However, such techniques require relatively complex signal processing where the estimation of the time delay between two sensors, usually located either side of the suspected leak, is carried out by using the cross-correlation function (CCF), for example. One way in which this problem can be investigated is by using wave models. Moreover, simplifications can be applied to such models, allowing them to be used for physical investigation or generating simulated leak signals to study the use of signal processing tools. Hence, the aim of this work is to use a wave propagation model to generate simulated signals to be processed in order to estimate the time delay by using cross-correlation function, which is the main vibration-acoustic technique employed for leak detection in buried water pipes. Moreover, a virtual environment is developed for analysis and data interpretation for ordinary people who want to understand a bit more of leak detection problems.

Keywords

Leak, Wave propagation model, Cross Correlation, Buried water pipe

 

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