Few-Shot Cross-Domain Fault Diagnosis via Wavelet Convolution Embedding and BDC-Based Metric Meta-Learning

Few-shot cross-domain bearing fault diagnosis is challenging because labeled fault samples are limited and signals collected by vibration sensors under different operating conditions often show significant distribution shifts. To improve bearing fault identification under limited-sample and cross-co...

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Главные авторы:	Zaiyou Xu, Jiale Kai, Jun Wang
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2026-07-01
Серии:	Sensors
Предметы:	meta-learning few-shot fault diagnosis cross-domain generalization Brownian distance covariance wavelet convolution prototypical network
Online-ссылка:	https://www.mdpi.com/1424-8220/26/13/4276
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