Reserving embedding space for new fault types: A new continual learning method for bearing fault diagnosis-Reference-Cited by-同舟云学术

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Reserving embedding space for new fault types: A new continual learning method for bearing fault diagnosis

Published:2024-12 Issue: Volume:252 Page:110433
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Zhu Hongyan,Shen Changqing^ORCID,Li Lin,Wang Dong^ORCID,Huang Weiguo,Zhu Zhongkui

Publisher

Elsevier BV

Reference43 articles.

1. Source-free domain adaptation method for fault diagnosis of rotation machinery under partial information;Yu;Reliability Engineering & System Safety,2024

2. RUL prediction for two-phase degrading systems considering physical damage observations;Cai;Reliability Engineering & System Safety,2024

3. Deep feature interactive network for machinery fault diagnosis using multi-source heterogeneous data;Miao;Reliability Engineering & System Safety,2024

4. Multisource Domain Feature Adaptation Network for Bearing Fault Diagnosis Under Time-Varying Working Conditions;Wang;IEEE Transactions Instrumentation Measurement,2022

5. Bearing fault diagnosis via generalized logarithm sparse regularization;Zhang;Mechanical Systems and Signal Processing,2022

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