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A Deep Neural Network-Based Feature Fusion for Bearing Fault Diagnosis
This paper presents a novel method for fusing information from multiple sensor systems for bearing fault diagnosis. In the proposed method, a convolutional neural network is exploited to handle multiple signal sources simultaneously. The most important finding of this paper is that a deep neural net...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7795921/ https://ncbi.nlm.nih.gov/pubmed/33401511 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21010244 |
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