Assessing the monocomponent decomposition technique able to more accurately deliver the vibration produced by a gear
This work addresses the assessment, given a group of monocomponent signal decomposition techniques, of the technique able to deliver, in the clearer form (higher modulation detection index), the monocomponent signal corresponding to the first (or second) harmonic of the vibration produced by a gear...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2020 |
| País: | México |
| Institución: | UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO |
| Repositorio: | Journal of Applied Research and Technology |
| Idioma: | inglés |
| OAI Identifier: | oai:ojs2.localhost:article/1087 |
| Acceso en línea: | https://jart.icat.unam.mx/index.php/jart/article/view/1087 |
| Access Level: | acceso abierto |
| Palabra clave: | gear vibration TARSEalgorithm modulation detection index |
| Sumario: | This work addresses the assessment, given a group of monocomponent signal decomposition techniques, of the technique able to deliver, in the clearer form (higher modulation detection index), the monocomponent signal corresponding to the first (or second) harmonic of the vibration produced by a gear (a modulation signal). To do that, the Modulation Detection Index (MDI) is computed. The research was performed by working with simulation and true signals. It was proved that, among a group of monocomponent signal decomposition techniques, the technique SSD is the one that delivers more clearly the modulation. |
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