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...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2016-09-01
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| coleção: | Sensors |
| Assuntos: | |
| Acesso em linha: | http://www.mdpi.com/1424-8220/16/9/1524 |
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