Events6th International Electronic Conference on Sensors and Applications
Published
This submission belongs to the session D. Applications of the event 6th International Electronic Conference on Sensors and Applications
Published date
14 Nov, 2019
Citation
Pedro Cerri Giroto, Pedro Oliveira Junior, Paulo Roberto de Aguiar, Felipe Aparecido Alexandre, Martin Aulestia, Eduardo Carlos Bianchi, Ruas Erick, Piezoelectric sensor signal analysis after interface changes between the sensor and the structure under monitoring, in Proceedings of 6th International Electronic Conference on Sensors and Applications, 15 November–30 November 2019, MDPI: Basel, Switzerland, doi: 10.3390/ecsa-6-06552
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Piezoelectric sensor signal analysis after interface changes between the sensor and the structure under monitoring

Paulo Roberto de Aguiar 1
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Eduardo Carlos Bianchi 2
Ruas Erick 3
1. Universidade Estadual Paulista – UNESP – Campus Bauru, Bauru Engineering School, Electrical Engineering Department, Av. Luiz Edmundo Carrijo Coube, 14-01,Cx Postal 473, ZIP CODE 17033-360, Bauru-SP
2. Universidade Estadual Paulista – UNESP – Campus Bauru, Bauru Engineering School, Mechanical Engineering Department, Av. Luiz Edmundo Carrijo Coube, 14-01,Cx Postal 473, ZIP CODE 17033-360, Bauru-SP
3. Coordenador de portfólio na Fundação Paulista de Tecnologia e Educação
Abstract

This study aims to show the influences of the sensor installation interface on the industrial environment. This contribution is focused on analyzing the response behavior of piezoelectric transducers subjected to successive installations, using digital signal processing and non-destructive structural health monitoring (SHM) techniques. Tests were performed to simulate the installation conditions of a piezoelectric sensor, which was coupled to a holder carrying a steel body and submitted to successive reinstallations. Different signals were obtained for each installation, and the results can bring initial elucidations on the subject and pave the way for future studies.

Keywords
Piezoelectric Diaphragm
Monitoring
Digital Signal Processing
Sensors.
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