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HUST bearing: a practical dataset for ball bearing fault diagnosis
OBJECTIVES: The rapid growth of machine learning methods has led to an increase in the demand for data. For bearing fault diagnosis, the data acquisition is time-consuming with complicated processes. Existing datasets are only focused on only one type of bearing, which limits real-world applications...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10327369/ https://www.ncbi.nlm.nih.gov/pubmed/37415236 http://dx.doi.org/10.1186/s13104-023-06400-4 |