Composite Fault Diagnosis of Rolling Bearing Based on Chaotic Honey Badger Algorithm Optimizing VMD and ELM

In order to effectively extract the characteristic information of bearing vibration signals and improve the classification accuracy, a composite fault diagnosis method of rolling bearing based on the chaotic honey badger algorithm (CHBA), which optimizes variational mode decomposition (VMD) and extr...

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Detalhes bibliográficos

Principais autores:	Jie Ma, Sen Yu, Wei Cheng
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-06-01
coleção:	Machines
Assuntos:	honey badger algorithm chaotic mapping fault diagnosis extreme learning machine Gini index of square envelope
Acesso em linha:	https://www.mdpi.com/2075-1702/10/6/469
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