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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Xinyan Zhang, Shaobin Cai, Wanchen Cai, Yuchang Mo, Liansuo Wei
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nature Portfolio 2024-12-01
Schriftenreihe:Scientific Reports
Schlagworte:
Gram matrix
Multiscale convolutional neural network
Denoising
Rolling bearing
Fault diagnosis
Online-Zugang:https://doi.org/10.1038/s41598-024-83315-5
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