dc.creator | Cabrera, Diego | es |
dc.creator | Sancho Caparrini, Fernando | es |
dc.creator | Sánchez, René-Vinicio | es |
dc.creator | Zurita, Grover | es |
dc.creator | Cerrada, Mariela | es |
dc.creator | Li, Chuan | es |
dc.creator | Vásquez, Rafael E. | es |
dc.date.accessioned | 2021-04-15T10:55:54Z | |
dc.date.available | 2021-04-15T10:55:54Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Cabrera, D., Sancho Caparrini, F., Sánchez, R., Zurita, G., Cerrada, M., Li, C. y Vásquez, R.E. (2015). Fault diagnosis of spur gearbox based on random forest and wavelet packet decomposition. Frontiers of Mechanical Engineering, 10 (3), 277-286. | |
dc.identifier.issn | 2095-0233 | es |
dc.identifier.uri | https://hdl.handle.net/11441/107123 | |
dc.description.abstract | This paper addresses the development of a
random forest classifier for the multi-class fault diagnosis
in spur gearboxes. The vibration signal’s condition
parameters are first extracted by applying the wavelet
packet decomposition with multiple mother wavelets, and
the coefficients’ energy content for terminal nodes is used
as the input feature for the classification problem. Then, a
study through the parameters’ space to find the best values
for the number of trees and the number of random features
is performed. In this way, the best set of mother wavelets
for the application is identified and the best features are
selected through the internal ranking of the random forest
classifier. The results show that the proposed method
reached 98.68% in classification accuracy, and high
efficiency and robustness in the models. | es |
dc.description.sponsorship | Junta de Andalucía TIC-6064 | es |
dc.format | application/pdf | es |
dc.format.extent | 10 | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | Frontiers of Mechanical Engineering, 10 (3), 277-286. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Fault diagnosis | es |
dc.subject | Spur gearbox | es |
dc.subject | Wavelet packet decomposition | es |
dc.subject | Random forest | es |
dc.title | Fault diagnosis of spur gearbox based on random forest and wavelet packet decomposition | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial | es |
dc.relation.projectID | TIC-6064 | es |
dc.relation.publisherversion | https://link.springer.com/article/10.1007/s11465-015-0348-8 | es |
dc.identifier.doi | 10.1007/s11465-015-0348-8 | es |
dc.journaltitle | Frontiers of Mechanical Engineering | es |
dc.publication.volumen | 10 | es |
dc.publication.issue | 3 | es |
dc.publication.initialPage | 277 | es |
dc.publication.endPage | 286 | es |
dc.identifier.sisius | 21657181 | es |
dc.contributor.funder | Junta de Andalucía | es |