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

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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Bibliographic Details
Main Authors: Jie Ma, Sen Yu, Wei Cheng
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Machines
Subjects:
honey badger algorithm
chaotic mapping
fault diagnosis
extreme learning machine
Gini index of square envelope
Online Access:https://www.mdpi.com/2075-1702/10/6/469

Internet

https://www.mdpi.com/2075-1702/10/6/469

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