A fault diagnosis method for rolling bearing based on gram matrix and multiscale convolutional neural network

A fault diagnosis method for rolling bearing based on gram matrix and multiscale convolutional neural network

Abstract The safety and reliability of rotating machinery hinge significantly on the proper functioning of rolling bearings. In the last few years, there have been significant advances in the algorithms for intelligent fault diagnosis of bearings. However, the vibration signals collected by machines...

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Bibliographic Details
Main Authors: Xinyan Zhang, Shaobin Cai, Wanchen Cai, Yuchang Mo, Liansuo Wei
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Gram matrix
Multiscale convolutional neural network
Denoising
Rolling bearing
Fault diagnosis
Online Access:https://doi.org/10.1038/s41598-024-83315-5
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https://doi.org/10.1038/s41598-024-83315-5

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