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Wavelet-Prototypical Network Based on Fusion of Time and Frequency Domain for Fault Diagnosis
Neural networks for fault diagnosis need enough samples for training, but in practical applications, there are often insufficient samples. In order to solve this problem, we propose a wavelet-prototypical network based on fusion of time and frequency domain (WPNF). The time domain and frequency doma...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924639/ https://www.ncbi.nlm.nih.gov/pubmed/33672742 http://dx.doi.org/10.3390/s21041483 |