Optimizing condition monitoring of ball bearings: An integrated approach using decision tree and extreme learning machine for effective decision-making

Optimizing condition monitoring of ball bearings: An integrated approach using decision tree and extreme learning machine for effective decision-making

This article presents a study on condition monitoring and predictive maintenance, highlighting the importance of tracking ball bearing condition to estimate their Remaining Useful Life (RUL). The study proposes a methodology that combines three algorithms, namely Variational Mode Decomposition (VMD)...

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Bibliographic Details
Main Authors: Euldji Riadh, Bouamhdi Mouloud, Rebhi Redha, Bachene Mourad, Ikumapayi Omolayo M., Al-Dujaili Ayad Q., Abdulkareem Ahmed I., Humaidi Amjad J., Menni Younes
Format: Article
Language:English
Published: De Gruyter 2023-06-01
Series:Open Physics
Subjects:
condition monitoring
ball bearings
variational mode decomposition
decision tree
extreme learning machines
Online Access:https://doi.org/10.1515/phys-2022-0239

Internet

https://doi.org/10.1515/phys-2022-0239

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