Fault detection of planetary gears based on signal space constellations

A new method to process the vibration signal acquired by an accelerometer placed in a planetary gearbox housing is proposed, which is useful to detect potential faults. The method is based on the phenomenological model and consists of the projection of the healthy vibration signals onto an orthonorm...

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Autores: Martincorena Arraiza, Maite, Cruz Blas, Carlos Aristóteles de la, López Martín, Antonio, Molina Vicuña, Cristian, Matías Maestro, Ignacio
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Recursos:Universidad Pública de Navarra
Repositorio:Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
OAI Identifier:oai:academica-e.unavarra.es:2454/41854
Acesso em linha:https://hdl.handle.net/2454/41854
Access Level:acceso abierto
Palavra-chave:Planetary gearbox
Vibration signal processing
Fault detection
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spelling Fault detection of planetary gears based on signal space constellationsMartincorena Arraiza, MaiteCruz Blas, Carlos Aristóteles de laLópez Martín, AntonioMolina Vicuña, CristianMatías Maestro, IgnacioPlanetary gearboxVibration signal processingFault detectionA new method to process the vibration signal acquired by an accelerometer placed in a planetary gearbox housing is proposed, which is useful to detect potential faults. The method is based on the phenomenological model and consists of the projection of the healthy vibration signals onto an orthonormal basis. Low pass components representation and Gram–Schmidt’s method are conveniently used to obtain such a basis. Thus, the measured signals can be represented by a set of scalars that provide information on the gear state. If these scalars are within a predefined range, then the gear can be diagnosed as correct; in the opposite case, it will require further evaluation. The method is validated using measured vibration signals obtained from a laboratory test bench.Grant PID2019-107258RB-C32 funded by MCIN/AEI/10.13039/501100011033. M.M.-A. has a predoctoral grant BES-2017-080418 funded by MCIN/AEI/10.13039/501100011033 and by ESF Investing in your future.MDPIIngeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio IngeniaritzarenInstitute of Smart Cities - ISCIngeniería Eléctrica, Electrónica y de Comunicación2022info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2454/41854reponame:Academica-e. Repositorio Institucional de la Universidad Pública de Navarrainstname:Universidad Pública de NavarraInglésinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/BES-2017-080418info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107258RB-C32© 2022 by the authors. Creative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:academica-e.unavarra.es:2454/418542026-06-17T12:41:47Z
dc.title.none.fl_str_mv Fault detection of planetary gears based on signal space constellations
title Fault detection of planetary gears based on signal space constellations
spellingShingle Fault detection of planetary gears based on signal space constellations
Martincorena Arraiza, Maite
Planetary gearbox
Vibration signal processing
Fault detection
title_short Fault detection of planetary gears based on signal space constellations
title_full Fault detection of planetary gears based on signal space constellations
title_fullStr Fault detection of planetary gears based on signal space constellations
title_full_unstemmed Fault detection of planetary gears based on signal space constellations
title_sort Fault detection of planetary gears based on signal space constellations
dc.creator.none.fl_str_mv Martincorena Arraiza, Maite
Cruz Blas, Carlos Aristóteles de la
López Martín, Antonio
Molina Vicuña, Cristian
Matías Maestro, Ignacio
author Martincorena Arraiza, Maite
author_facet Martincorena Arraiza, Maite
Cruz Blas, Carlos Aristóteles de la
López Martín, Antonio
Molina Vicuña, Cristian
Matías Maestro, Ignacio
author_role author
author2 Cruz Blas, Carlos Aristóteles de la
López Martín, Antonio
Molina Vicuña, Cristian
Matías Maestro, Ignacio
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren
Institute of Smart Cities - ISC
Ingeniería Eléctrica, Electrónica y de Comunicación
dc.subject.none.fl_str_mv Planetary gearbox
Vibration signal processing
Fault detection
topic Planetary gearbox
Vibration signal processing
Fault detection
description A new method to process the vibration signal acquired by an accelerometer placed in a planetary gearbox housing is proposed, which is useful to detect potential faults. The method is based on the phenomenological model and consists of the projection of the healthy vibration signals onto an orthonormal basis. Low pass components representation and Gram–Schmidt’s method are conveniently used to obtain such a basis. Thus, the measured signals can be represented by a set of scalars that provide information on the gear state. If these scalars are within a predefined range, then the gear can be diagnosed as correct; in the opposite case, it will require further evaluation. The method is validated using measured vibration signals obtained from a laboratory test bench.
publishDate 2022
dc.date.none.fl_str_mv 2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2454/41854
url https://hdl.handle.net/2454/41854
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/BES-2017-080418
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107258RB-C32
dc.rights.none.fl_str_mv © 2022 by the authors. Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv © 2022 by the authors. Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
instname:Universidad Pública de Navarra
instname_str Universidad Pública de Navarra
reponame_str Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
collection Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
repository.name.fl_str_mv
repository.mail.fl_str_mv
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