A Novel Transfer Kernel Enabled Kernel Extreme Learning Machine Model for Cross-Domain Condition Monitoring and Fault Diagnosis of Bearings

Kernel transfer learning (KTL), as a kind of statistical transfer learning (STL), has provided significant solutions for cross-domain condition monitoring and fault diagnosis of bearings due to its ability to capture relationships and reduce the gap between source and target domains. However, most c...

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Principais autores:	Haobo Yang, Hui Wang, Jing Meng, Wenhui Sun, Chao Chen
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-09-01
coleção:	Machines
Assuntos:	bearing condition monitoring fault diagnosis kernel extreme learning machine transfer kernel
Acesso em linha:	https://www.mdpi.com/2075-1702/13/9/793
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