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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...
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| izdano v: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
MDPI
2021
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7924639/ https://ncbi.nlm.nih.gov/pubmed/33672742 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21041483 |
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