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A Hybrid Feature Model and Deep-Learning-Based Bearing Fault Diagnosis
Bearing fault diagnosis is imperative for the maintenance, reliability, and durability of rotary machines. It can reduce economical losses by eliminating unexpected downtime in industry due to failure of rotary machines. Though widely investigated in the past couple of decades, continued advancement...
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| Publicado no: | Sensors (Basel) |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5751499/ https://ncbi.nlm.nih.gov/pubmed/29232908 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s17122876 |
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