An acquisition system framework for mechanical measurements with Python, Raspberry-Pi and MEMS sensors
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Brasileira de Ensino de Física (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-11172020000100500 |
Resumo: | In this paper, we propose the development of a low-cost acquisition system using Raspberry-Pi 3 and MEMS accelerometers to measure vibrations in mechanical systems. The main objective is to assemble a signals acquisition system easy to handle, of low cost and good accuracy for teaching and industrial purposes. The central idea is that the signals are acquired and processed in the Raspberry-Pi. The Python language and numerical libraries (scipy, numpy and matplotlib) are used for implementation of acquisition and signal processing. This paper proposes the study of vibrations in time and frequency domain. The acquisition system proposed can be easy implemented and the results obtained had good precision (time and frequency domain) and agree with the literature. |
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An acquisition system framework for mechanical measurements with Python, Raspberry-Pi and MEMS sensorsAcquisition systemRaspberry-PiPythonMEMSMechanical vibrationsIn this paper, we propose the development of a low-cost acquisition system using Raspberry-Pi 3 and MEMS accelerometers to measure vibrations in mechanical systems. The main objective is to assemble a signals acquisition system easy to handle, of low cost and good accuracy for teaching and industrial purposes. The central idea is that the signals are acquired and processed in the Raspberry-Pi. The Python language and numerical libraries (scipy, numpy and matplotlib) are used for implementation of acquisition and signal processing. This paper proposes the study of vibrations in time and frequency domain. The acquisition system proposed can be easy implemented and the results obtained had good precision (time and frequency domain) and agree with the literature.Sociedade Brasileira de Física2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-11172020000100500Revista Brasileira de Ensino de Física v.42 2020reponame:Revista Brasileira de Ensino de Física (Online)instname:Sociedade Brasileira de Física (SBF)instacron:SBF10.1590/1806-9126-rbef-2020-0167info:eu-repo/semantics/openAccessCassel Barbosa,Gabriel H.Varanis,MarcusDelgado,Kelven M. S.Oliveira,Clivaldo deeng2020-11-13T00:00:00Zoai:scielo:S1806-11172020000100500Revistahttp://www.sbfisica.org.br/rbef/https://old.scielo.br/oai/scielo-oai.php||marcio@sbfisica.org.br1806-91261806-1117opendoar:2020-11-13T00:00Revista Brasileira de Ensino de Física (Online) - Sociedade Brasileira de Física (SBF)false |
dc.title.none.fl_str_mv |
An acquisition system framework for mechanical measurements with Python, Raspberry-Pi and MEMS sensors |
title |
An acquisition system framework for mechanical measurements with Python, Raspberry-Pi and MEMS sensors |
spellingShingle |
An acquisition system framework for mechanical measurements with Python, Raspberry-Pi and MEMS sensors Cassel Barbosa,Gabriel H. Acquisition system Raspberry-Pi Python MEMS Mechanical vibrations |
title_short |
An acquisition system framework for mechanical measurements with Python, Raspberry-Pi and MEMS sensors |
title_full |
An acquisition system framework for mechanical measurements with Python, Raspberry-Pi and MEMS sensors |
title_fullStr |
An acquisition system framework for mechanical measurements with Python, Raspberry-Pi and MEMS sensors |
title_full_unstemmed |
An acquisition system framework for mechanical measurements with Python, Raspberry-Pi and MEMS sensors |
title_sort |
An acquisition system framework for mechanical measurements with Python, Raspberry-Pi and MEMS sensors |
author |
Cassel Barbosa,Gabriel H. |
author_facet |
Cassel Barbosa,Gabriel H. Varanis,Marcus Delgado,Kelven M. S. Oliveira,Clivaldo de |
author_role |
author |
author2 |
Varanis,Marcus Delgado,Kelven M. S. Oliveira,Clivaldo de |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Cassel Barbosa,Gabriel H. Varanis,Marcus Delgado,Kelven M. S. Oliveira,Clivaldo de |
dc.subject.por.fl_str_mv |
Acquisition system Raspberry-Pi Python MEMS Mechanical vibrations |
topic |
Acquisition system Raspberry-Pi Python MEMS Mechanical vibrations |
description |
In this paper, we propose the development of a low-cost acquisition system using Raspberry-Pi 3 and MEMS accelerometers to measure vibrations in mechanical systems. The main objective is to assemble a signals acquisition system easy to handle, of low cost and good accuracy for teaching and industrial purposes. The central idea is that the signals are acquired and processed in the Raspberry-Pi. The Python language and numerical libraries (scipy, numpy and matplotlib) are used for implementation of acquisition and signal processing. This paper proposes the study of vibrations in time and frequency domain. The acquisition system proposed can be easy implemented and the results obtained had good precision (time and frequency domain) and agree with the literature. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-11172020000100500 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-11172020000100500 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1806-9126-rbef-2020-0167 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Física |
publisher.none.fl_str_mv |
Sociedade Brasileira de Física |
dc.source.none.fl_str_mv |
Revista Brasileira de Ensino de Física v.42 2020 reponame:Revista Brasileira de Ensino de Física (Online) instname:Sociedade Brasileira de Física (SBF) instacron:SBF |
instname_str |
Sociedade Brasileira de Física (SBF) |
instacron_str |
SBF |
institution |
SBF |
reponame_str |
Revista Brasileira de Ensino de Física (Online) |
collection |
Revista Brasileira de Ensino de Física (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Ensino de Física (Online) - Sociedade Brasileira de Física (SBF) |
repository.mail.fl_str_mv |
||marcio@sbfisica.org.br |
_version_ |
1752122424811323392 |