JOURNAL ARTICLE
Unsupervised fault diagnosis method for rolling bearings based on federated universal domain adaptation
Shouqiang KangYulin SunXinrui LiYujing WangQingyan WangXintao Liang
Year: 2025 Journal: Engineering Applications of Artificial Intelligence Vol: 162 Pages: 112518-112518 Publisher: Elsevier BV
Keywords:
Metrics
0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
31
Refs
0.49
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Topics
Machine Fault Diagnosis Techniques
Physical Sciences → Engineering → Control and Systems Engineering
Gear and Bearing Dynamics Analysis
Physical Sciences → Engineering → Mechanical Engineering
Evaluation Methods in Various Fields
Physical Sciences → Environmental Science → Ecological Modeling
Related Documents
JOURNAL ARTICLE
A Fault Diagnosis Method Based on Unsupervised Dynamic Domain Adaptation for Rolling Bearings
Ran RenTao LiuZhenya WangG. Gu
Year: 2025 Pages: 1198-1204
JOURNAL ARTICLE
Cross-domain fault diagnosis method for rolling bearings based on contrastive universal domain adaptation
Shouqiang KangXi TangYujing WangQingyan WangJinbao Xie
Journal: ISA Transactions Year: 2023 Vol: 146 Pages: 195-207
JOURNAL ARTICLE
Fault diagnosis of rolling bearings under variable conditions based on unsupervised domain adaptation method
Jianhua ZhongCong LinYang GaoJianfeng ZhongShuncong ZhongJianfeng ZhongShuncong Zhong
Journal: Mechanical Systems and Signal Processing Year: 2024 Vol: 215 Pages: 111430-111430
JOURNAL ARTICLE
Federated transfer learning-based distributed fault diagnosis method for rolling bearings
Guang YangJuan SuSonghuai DuQingling Duan
Journal: Measurement Science and Technology Year: 2024 Vol: 35 (12)Pages: 126111-126111
JOURNAL ARTICLE
A Novel Fault Diagnosis Method for Rolling Bearings Based on Multi-Domain Adaptation Neural Network
Pınar KeskinocakBrian WilsonM. Scott
Journal: Journal of applied artificial intelligence. Year: 2024 Vol: 1 (2)Pages: 75-88