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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Detalles Bibliográficos
Autores principales: Wang, Yu, Chen, Lei, Liu, Yang, Gao, Lipeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924639/
https://www.ncbi.nlm.nih.gov/pubmed/33672742
http://dx.doi.org/10.3390/s21041483

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