Detection of Damage on Inner and Outer Races of Ball Bearings Using a Low-Cost Monitoring System and Deep Convolution Neural Networks

Detection of Damage on Inner and Outer Races of Ball Bearings Using a Low-Cost Monitoring System and Deep Convolution Neural Networks

Bearings are vital components in machinery, and their malfunction can result in equipment damage and reduced productivity. As a result, considerable research attention has been directed toward the early detection of bearing faults. With recent rapid advancements in machine learning algorithms, there...

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Bibliographic Details
Main Authors: Handeul You, Dongyeon Kim, Juchan Kim, Keunu Park, Sangjin Maeng
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Machines
Subjects:
ball bearing
vibration
monitoring system
fault diagnosis
deep neural network
Online Access:https://www.mdpi.com/2075-1702/12/12/843
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