Wavelet-Prototypical Network Based on Fusion of Time and Frequency Domain for Fault Diagnosis

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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Bibliographic Details
Main Authors:	Yu Wang, Lei Chen, Yang Liu, Lipeng Gao
Format:	Article
Language:	English
Published:	MDPI AG 2021-02-01
Series:	Sensors
Subjects:	Fault diagnosis Few-shot learning Meta-learning Rotating machinery
Online Access:	https://www.mdpi.com/1424-8220/21/4/1483

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