Research on Bearing Fault Diagnosis Based on GMNR and ResNet-CABA-MAGRU

Research on Bearing Fault Diagnosis Based on GMNR and ResNet-CABA-MAGRU

Focusing on the problem that it is difficult to maintain a high diagnostic accuracy rate, short running time, and robust generalization capability in the face of a strong-noise environment in rolling bearing fault diagnosis, a bearing fault diagnosis model (GMNR-CABA-MAGRU) founded upon a new attent...

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Bibliographic Details
Main Authors: Longfa Chen, Na Meng, Wenzheng Sun, Sen Yang, Shuo Tian, Yuguo Li
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Sensors
Subjects:
deep learning
fault diagnosis
attention mechanism
Gram denoising module (GMNR)
Online Access:https://www.mdpi.com/1424-8220/25/11/3458
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