Cargando…
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...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749641/ https://www.ncbi.nlm.nih.gov/pubmed/35009906 http://dx.doi.org/10.3390/s22010366 |
_version_ | 1784631279005728768 |
---|---|
author | Martincorena-Arraiza, Maite De La Cruz Blas, Carlos A. Lopez-Martin, Antonio Vicuña, Cristián Molina Matías, Ignacio R. |
author_facet | Martincorena-Arraiza, Maite De La Cruz Blas, Carlos A. Lopez-Martin, Antonio Vicuña, Cristián Molina Matías, Ignacio R. |
author_sort | Martincorena-Arraiza, Maite |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-8749641 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87496412022-01-12 Fault Detection of Planetary Gears Based on Signal Space Constellations Martincorena-Arraiza, Maite De La Cruz Blas, Carlos A. Lopez-Martin, Antonio Vicuña, Cristián Molina Matías, Ignacio R. Sensors (Basel) Article 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. MDPI 2022-01-04 /pmc/articles/PMC8749641/ /pubmed/35009906 http://dx.doi.org/10.3390/s22010366 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Martincorena-Arraiza, Maite De La Cruz Blas, Carlos A. Lopez-Martin, Antonio Vicuña, Cristián Molina Matías, Ignacio R. Fault Detection of Planetary Gears Based on Signal Space Constellations |
title | 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_short | Fault Detection of Planetary Gears Based on Signal Space Constellations |
title_sort | fault detection of planetary gears based on signal space constellations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749641/ https://www.ncbi.nlm.nih.gov/pubmed/35009906 http://dx.doi.org/10.3390/s22010366 |
work_keys_str_mv | AT martincorenaarraizamaite faultdetectionofplanetarygearsbasedonsignalspaceconstellations AT delacruzblascarlosa faultdetectionofplanetarygearsbasedonsignalspaceconstellations AT lopezmartinantonio faultdetectionofplanetarygearsbasedonsignalspaceconstellations AT vicunacristianmolina faultdetectionofplanetarygearsbasedonsignalspaceconstellations AT matiasignacior faultdetectionofplanetarygearsbasedonsignalspaceconstellations |