Characterization of faults in rotating machines using multivariate component analysis
| dc.contributor.advisor | Castellanos-Domínguez, César Germán | spa |
| dc.contributor.advisor | Cardona-Morales, Óscar | spa |
| dc.contributor.author | Ruales-Torres, Anderson Alberto | spa |
| dc.contributor.researchgroup | Grupo de Control y Procesamiento Digital de Señales | spa |
| dc.date.accessioned | 2020-05-13T22:09:23Z | spa |
| dc.date.available | 2020-05-13T22:09:23Z | spa |
| dc.date.issued | 2020 | spa |
| dc.description.abstract | This thesis aims to develop a set of methodologies that allow the feature extraction and blind source separation, to diagnose the different types of faults in gearboxes and bearings. First, it is proposed the implementation of fault detection algorithms in a gearbox with 10 fault types, where it is obtained success percentages above 85 %. Thus, the results of the classification show that feature extraction methodology is significant. Second, an analysis of different methods of blind source separation is realized, which highlights the characteristic frequencies of the fault, showing that they are a useful tool in the identification. Finally, multiple-constrained Independent Component Analysis mcICA is proposed, taking advantage of the information encoded by the signal envelope to fault localization. Therefore, the methodology discussed in this document provides both the evaluation of the state of health and the machine maintenance process. (Texto tomado de la fuente) | eng |
| dc.description.abstract | La presente tesis pretende desarrollar un conjunto de metodología que permitan la extracción de características y la separación de fuentes ocultas, con el fin de diagnosticar los distintos tipos de fallos en cajas de engranajes y rodamientos. Primero, se propone la implementación de algoritmos para la detección de fallas en una caja de engranajes con 10 tipos de fallas, donde se obtuvo porcentajes de acierto por encima del 85 %, así, los resultados de clasificación muestran que la metodología empleada para la extracción de características es significativa. Segundo, se realiza un análisis de diferentes métodos de separación de fuentes ocultas, los cuales logran resaltar las frecuencias características de la falla, evidenciando que son una herramienta útil en la identificación. Finalmente, se propone un algoritmo de Análisis de Componentes Independientes basado en múltiples restricciones mcICA, aprovechando la información codificada por la envolvente de la señal para localizar la falla. Por lo tanto, la metodología tratada en este documento contribuye tanto a la evaluación del estado de salud como al proceso de mantenimiento de la máquina. | spa |
| dc.description.degreelevel | Maestría | spa |
| dc.format.extent | 75 | spa |
| dc.format.mimetype | application/pdf | spa |
| dc.identifier.citation | Ruales-Torres, A. A. 2020. Characterization of faults in rotating machines using multivariate component analysis. masters, Universidad Nacional de Colombia-Sede Manizales. | spa |
| dc.identifier.uri | https://repositorio.unal.edu.co/handle/unal/77515 | |
| dc.language.iso | eng | spa |
| dc.publisher.branch | Universidad Nacional de Colombia - Sede Manizales | spa |
| dc.publisher.department | Departamento de Ingeniería Eléctrica y Electrónica | spa |
| dc.publisher.program | Manizales - Ingeniería y Arquitectura - Maestría en Ingeniería - Automatización Industrial | spa |
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| dc.rights | Derechos reservados - Universidad Nacional de Colombia | spa |
| dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
| dc.rights.license | Atribución-SinDerivadas 4.0 Internacional | spa |
| dc.rights.spa | Acceso abierto | spa |
| dc.rights.uri | http://creativecommons.org/licenses/by-nd/4.0/ | spa |
| dc.subject.ddc | 620 - Ingeniería y operaciones afines | spa |
| dc.subject.proposal | Rodamiento de elementos rodantes | spa |
| dc.subject.proposal | Rolling element bearing | eng |
| dc.subject.proposal | Señales de vibración | spa |
| dc.subject.proposal | Vibration signals | eng |
| dc.subject.proposal | Localización de fallas | spa |
| dc.subject.proposal | Fault localization | eng |
| dc.subject.proposal | Independent component analysis | eng |
| dc.subject.proposal | Análisis de componentes independientes | spa |
| dc.subject.proposal | Extracción de características | spa |
| dc.subject.proposal | Feature extraction | eng |
| dc.subject.proposal | Vibration analysis | eng |
| dc.subject.proposal | Análisis de vibraciones | spa |
| dc.title | Characterization of faults in rotating machines using multivariate component analysis | spa |
| dc.title.alternative | Caracterización de fallas en máquinas rotativas usando análisis de componentes multivariado | spa |
| dc.type | Trabajo de grado - Maestría | spa |
| dc.type.coar | http://purl.org/coar/resource_type/c_bdcc | spa |
| dc.type.coarversion | http://purl.org/coar/version/c_ab4af688f83e57aa | spa |
| dc.type.content | Text | spa |
| dc.type.driver | info:eu-repo/semantics/masterThesis | spa |
| dc.type.version | info:eu-repo/semantics/acceptedVersion | spa |
| oaire.accessrights | http://purl.org/coar/access_right/c_abf2 | spa |
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