Fault detection of planetary gears based on signal space constellations
| dc.contributor.author | Martincorena Arraiza, Maite | |
| dc.contributor.author | Cruz Blas, Carlos Aristóteles de la | |
| dc.contributor.author | López Martín, Antonio | |
| dc.contributor.author | Molina Vicuña, Cristian | |
| dc.contributor.author | Matías Maestro, Ignacio | |
| dc.contributor.department | Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren | eu |
| dc.contributor.department | Institute of Smart Cities - ISC | en |
| dc.contributor.department | Ingeniería Eléctrica, Electrónica y de Comunicación | es_ES |
| dc.date.accessioned | 2022-01-21T15:42:47Z | |
| dc.date.available | 2022-01-21T15:42:47Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | 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. | en |
| dc.description.sponsorship | 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. | en |
| dc.format.extent | 14 p. | |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.doi | 10.3390/s22010366 | |
| dc.identifier.issn | 1424-8220 | |
| dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/41854 | |
| dc.language.iso | eng | en |
| dc.publisher | MDPI | en |
| dc.relation.ispartof | Sensors. 2022; 22(1):366 | en |
| dc.relation.projectID | info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/BES-2017-080418/ | |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107258RB-C32/ES/ | |
| dc.relation.publisherversion | https://doi.org/10.3390/s22010366 | |
| dc.rights | © 2022 by the authors. Creative Commons Attribution 4.0 International | en |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Planetary gearbox | en |
| dc.subject | Vibration signal processing | en |
| dc.subject | Fault detection | en |
| dc.title | Fault detection of planetary gears based on signal space constellations | en |
| dc.type | info:eu-repo/semantics/article | |
| dc.type.version | info:eu-repo/semantics/publishedVersion | |
| dspace.entity.type | Publication | |
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