Dispositivo para aquisição de sinais de Emissão Acústica voltado à localização de vazamento
Authors
Diego Siedel Bertolini
Programa de Pós-Graduação em Engenharia Elétrica e Informática Industrial, Universidade Tecnológica Federal do Paraná, PR
André Eugênio Lazzaretti
Programa de Pós-Graduação em Engenharia Elétrica e Informática Industrial, Universidade Tecnológica Federal do Paraná, PR
José Jair Alves Mendes Junior
Programa de Pós-Graduação em Engenharia Elétrica e Informática Industrial, Universidade Tecnológica Federal do Paraná, PR
Luciano Carstens
Departamento de Sistemas Eletrônicos e Digitais, Lactec, PR
Leaks in pipes can cause environmental damage and result in loss of resources. To resolve this problem, there are several techniques to detect and locate this anomaly. Among them, Acoustic Emission (AE) is very promising. In this context, the methodology adopted consists of filtering the leak signal and locating it in two stages. The first, zonal, is given by ASL and RMS, parameters used in practice. The second, linear, occurs through the cross-correlation of signals. For the experiment, an industrial pipeline, EA sensors, a Printed Circuit Board (PCB), a USB Analog Discovery 2 oscilloscope, and a Raspberry Pi 4 were used. In this study, it was demonstrated that cross-correlation is effective in accurately locating leaks, with an error of 3 meters for the greatest sensor spacing tested, which was 90 meters.
