Digital twin-assisted dual transfer: a novel information-model adaptation method for rolling bearing fault diagnosis

Author:

Li Zixian,Ding XiaoxiORCID,Song Zhenzhen,Wang Liming,Qin Bo,Huang Wenbin

Publisher

Elsevier BV

Reference57 articles.

1. Fault diagnosis on the bearing of traction motor in high-speed trains based on deep learning;Zou;Alex. Eng. J.,2021

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3. The multiclass fault diagnosis of wind turbine bearing based on multisource signal fusion and deep learning generative model;Zhang;IEEE Trans. Instrum. Meas.,2022

4. Online fault diagnosis method based on transfer convolutional neural networks;Xu;IEEE Trans. Instrum. Meas.,2020

5. Report on wind turbine subsystem reliability-a survey of various databases;Heng;Office of Scientific & Technical Information Technical Reports,2013

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