The IBA-ISMO Method for Rolling Bearing Fault Diagnosis Based on VMD-Sample Entropy

The IBA-ISMO Method for Rolling Bearing Fault Diagnosis Based on VMD-Sample Entropy

Rolling bearings are important supporting components of large-scale electromechanical equipment. Once a fault occurs, it will cause economic losses, and serious accidents will affect personal safety. Therefore, research on rolling bearing fault diagnosis technology has important engineering practica...

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Bibliographic Details
Main Authors: Deyu Zhuang, Hongrui Liu, Hao Zheng, Liang Xu, Zhengyang Gu, Gang Cheng, Jinbo Qiu
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Sensors
Subjects:
variational mode decomposition
sample entropy
sequence minimum optimization algorithm
fault diagnosis
Online Access:https://www.mdpi.com/1424-8220/23/2/991

Internet

https://www.mdpi.com/1424-8220/23/2/991

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