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Prognosis of Bearing and Gear Wears Using Convolutional Neural Network with Hybrid Loss Function
This study aimed to propose a prognostic method based on a one-dimensional convolutional neural network (1-D CNN) with clustering loss by classification training. The 1-D CNN was trained by collecting the vibration signals of normal and malfunction data in hybrid loss function (i.e., classification...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7349655/ https://www.ncbi.nlm.nih.gov/pubmed/32580465 http://dx.doi.org/10.3390/s20123539 |