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A Sparsity-Promoted Decomposition for Compressed Fault Diagnosis of Roller Bearings
The traditional approaches for condition monitoring of roller bearings are almost always achieved under Shannon sampling theorem conditions, leading to a big-data problem. The compressed sensing (CS) theory provides a new solution to the big-data problem. However, the vibration signals are insuffici...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5038797/ https://www.ncbi.nlm.nih.gov/pubmed/27657063 http://dx.doi.org/10.3390/s16091524 |