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Performance of Bearing Ball Defect Classification Based on the Fusion of Selected Statistical Features
Among the existing bearing faults, ball ones are known to be the most difficult to detect and classify. In this work, we propose a diagnosis methodology for these incipient faults’ classification using time series of vibration signals and their decomposition. Firstly, the vibration signals were deco...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497772/ https://www.ncbi.nlm.nih.gov/pubmed/36141137 http://dx.doi.org/10.3390/e24091251 |