Fault Diagnosis of Rolling Bearing with Roller Spalling Based on Two-Step Transfer Learning on Unbalanced Dataset

Fault Diagnosis of Rolling Bearing with Roller Spalling Based on Two-Step Transfer Learning on Unbalanced Dataset

Under operating conditions, bearings have a substantial service life with short failure time periods, which leads to unbalanced dataset and greatly affects the accuracy of deep learning model fault diagnosis. To address this problem, a fault diagnosis method of rolling bearing unbalanced dataset bas...

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Bibliographic Details
Main Author: GUO Junfeng, WANG Miaosheng, WANG Zhiming
Format: Article
Language:zho
Published: Editorial Office of Journal of Shanghai Jiao Tong University 2023-11-01
Series:Shanghai Jiaotong Daxue xuebao
Subjects:
transfer learning
fault diagnosis
unbalanced dataset
generative adversarial network
Online Access:https://xuebao.sjtu.edu.cn/article/2023/1006-2467/1006-2467-57-11-1512.shtml

Internet

https://xuebao.sjtu.edu.cn/article/2023/1006-2467/1006-2467-57-11-1512.shtml

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