Source-free domain adaptation framework for fault diagnosis of rotation machinery under data privacy-Reference-Cited by-同舟云学术

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Source-free domain adaptation framework for fault diagnosis of rotation machinery under data privacy

Published:2023-10 Issue: Volume:238 Page:109468
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Li Qikang,Tang Baoping,Deng Lei,Zhu Peng

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Reference35 articles.

1. Distillation-enhanced fast neural architecture search method for edge-side fault diagnosis of wind turbine gearboxes;Wu;Expert Syst Appl,2022

2. Self-supervised pretraining via contrast learning for intelligent incipient fault detection of bearings;Ding;Reliab Eng Syst Saf,2022

3. Early fault diagnosis of rotating machinery based on composite zoom permutation entropy;Ma;Reliab Eng Syst Saf,2023

4. An overview on fault diagnosis, prognosis and resilient control for wind turbine systems;Gao;Processes,2021

5. An information-induced fault diagnosis framework generalizing from stationary to unknown nonstationary working conditions;Liu;Reliab Eng Syst Saf,2023

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Semi-supervised source-free domain adaptation method via diffusive label propagation for rotating machinery fault diagnosis;Reliability Engineering & System Safety;2024-12

2. Adaptive centroid prototype-based domain adaptation for fault diagnosis of rotating machinery without source data;Reliability Engineering & System Safety;2024-11

3. Reinforced fuzzy domain adaptation: Revolutionizing data-unaccessible rotating machinery fault diagnosis across multiple domains;Expert Systems with Applications;2024-10

4. Multi-target domain adaptation intelligent diagnosis method for rotating machinery based on multi-source attention mechanism and mixup feature augmentation;Reliability Engineering & System Safety;2024-10

5. Cloud-Edge Test-Time Adaptation for Cross-Domain Online Machinery Fault Diagnosis via Customized Contrastive Learning;Advanced Engineering Informatics;2024-08

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